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3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":8114638,"sourceType":"datasetVersion","datasetId":4793990}],"dockerImageVersionId":30648,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Overview\n\nIn this notebook, we do the topic modeling with BERTopic[https://github.com/MaartenGr/BERTopic] for query dataset.","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}},{"cell_type":"code","source":"!pip install bertopic","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:11:18.662929Z","iopub.execute_input":"2024-04-14T10:11:18.663445Z","iopub.status.idle":"2024-04-14T10:12:49.857046Z","shell.execute_reply.started":"2024-04-14T10:11:18.663409Z","shell.execute_reply":"2024-04-14T10:12:49.855581Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Collecting bertopic\n Downloading bertopic-0.16.0-py2.py3-none-any.whl.metadata (21 kB)\nRequirement already satisfied: numpy>=1.20.0 in /opt/conda/lib/python3.10/site-packages (from bertopic) (1.24.4)\nCollecting hdbscan>=0.8.29 (from bertopic)\n Downloading hdbscan-0.8.33.tar.gz (5.2 MB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.2/5.2 MB\u001b[0m \u001b[31m42.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25h Installing build dependencies ... \u001b[?25ldone\n\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n\u001b[?25h 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satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->huggingface-hub>=0.15.1->sentence-transformers>=0.4.1->bertopic) (2023.11.17)\nRequirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch>=1.11.0->sentence-transformers>=0.4.1->bertopic) (1.3.0)\nDownloading bertopic-0.16.0-py2.py3-none-any.whl (154 kB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.1/154.1 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading sentence_transformers-2.6.1-py3-none-any.whl (163 kB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m163.3/163.3 kB\u001b[0m \u001b[31m12.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hUsing cached Cython-0.29.37-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (1.9 MB)\nBuilding wheels for collected packages: hdbscan\n Building wheel for hdbscan (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25h Created wheel for hdbscan: filename=hdbscan-0.8.33-cp310-cp310-linux_x86_64.whl size=819466 sha256=ee79f1585cebdc3dad5b46e694f83047fb1b71a6619d7288d64151eb09b95289\n Stored in directory: /root/.cache/pip/wheels/75/0b/3b/dc4f60b7cc455efaefb62883a7483e76f09d06ca81cf87d610\nSuccessfully built hdbscan\nInstalling collected packages: cython, hdbscan, sentence-transformers, bertopic\n Attempting uninstall: cython\n Found existing installation: Cython 3.0.8\n Uninstalling Cython-3.0.8:\n Successfully uninstalled Cython-3.0.8\nSuccessfully installed bertopic-0.16.0 cython-0.29.37 hdbscan-0.8.33 sentence-transformers-2.6.1\n","output_type":"stream"}]},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nfrom bertopic import BERTopic\n\nimport re\nimport string\n\nimport nltk\n\n\nfrom tqdm import tqdm\n","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:43:53.313954Z","iopub.execute_input":"2024-04-14T10:43:53.314328Z","iopub.status.idle":"2024-04-14T10:43:53.319963Z","shell.execute_reply.started":"2024-04-14T10:43:53.314298Z","shell.execute_reply":"2024-04-14T10:43:53.318983Z"},"trusted":true},"execution_count":61,"outputs":[]},{"cell_type":"markdown","source":"# Loading datasets\n\nWe will use a dataset containing abstracts and metadata [ArXiv](https://huggingface.co/datasets/arxiv_dataset).","metadata":{}},{"cell_type":"code","source":"data= pd.read_csv(\"/kaggle/input/stencil/predicted_values.csv\", usecols=[\"queryInEnglish\"])\n\ndata.head()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:13:54.161711Z","iopub.execute_input":"2024-04-14T10:13:54.162076Z","iopub.status.idle":"2024-04-14T10:13:54.443335Z","shell.execute_reply.started":"2024-04-14T10:13:54.162049Z","shell.execute_reply":"2024-04-14T10:13:54.442076Z"},"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":" queryInEnglish\n0 'If there is a pest in the cultivation of okra...\n1 'Remedies for leaf mold of the chilli plant '\n2 'What is the right time to sow mustard?'\n3 'Late Wheat Wairati '\n4 'Paddy variety'","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
queryInEnglish
0'If there is a pest in the cultivation of okra...
1'Remedies for leaf mold of the chilli plant '
2'What is the right time to sow mustard?'
3'Late Wheat Wairati '
4'Paddy variety'
\n
"},"metadata":{}}]},{"cell_type":"markdown","source":"# Pieline of BERTopic\n\nBefore we are going to start `Topic Modeling`. It is good for us to know the pipeline of BERTopic. BERTopic can be viewed as a sequence of steps to create its topic representations. \n\nHere is the process:\n\n![https://maartengr.github.io/BERTopic/algorithm/default.svg](https://maartengr.github.io/BERTopic/algorithm/default.svg)\n\nWe can adopt the pipeline to the current state-of-art with respect to each individual step:\n\n![https://maartengr.github.io/BERTopic/algorithm/modularity.svg](https://maartengr.github.io/BERTopic/algorithm/modularity.svg)","metadata":{}},{"cell_type":"markdown","source":"# Pre-calculate Embeddings\n\nWe are going to execute the first step of the BERTopic pipeline which is `embeddings`. If you want to compute embeddings with multiple GPUs, check [Computing Embeddings Streaming](https://www.kaggle.com/code/aisuko/computing-embeddings-streaming) and [Computing Embeddings with Multi GPUs](https://www.kaggle.com/code/aisuko/computing-embeddings-with-multi-gpus).","metadata":{}},{"cell_type":"code","source":"%%capture\nfrom sentence_transformers import SentenceTransformer\n\nencoder=SentenceTransformer('all-MiniLM-L6-v2').to('cuda')\nencoder.max_seq_length=256\nencoder","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:14:06.987835Z","iopub.execute_input":"2024-04-14T10:14:06.988198Z","iopub.status.idle":"2024-04-14T10:14:09.758614Z","shell.execute_reply.started":"2024-04-14T10:14:06.988169Z","shell.execute_reply":"2024-04-14T10:14:09.757720Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"corpus_embeddings=encoder.encode(dataset, show_progress_bar=True)\nlen(corpus_embeddings)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:20:29.648545Z","iopub.execute_input":"2024-04-14T10:20:29.648928Z","iopub.status.idle":"2024-04-14T10:20:39.863268Z","shell.execute_reply.started":"2024-04-14T10:20:29.648893Z","shell.execute_reply":"2024-04-14T10:20:39.862357Z"},"trusted":true},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"text/plain":"Batches: 0%| | 0/1183 [00:00#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. 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UMAP(metric='cosine', min_dist=0.0, n_components=5, random_state=42)
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"},"metadata":{}}]},{"cell_type":"markdown","source":"# Controlling Number of Topics\n\nThere is a parameter to control the number of topics, namely `nr_ropics`. This parameter merges topics `after` they have been created. It is a parameter that supports creating fixed number of topics. However, it is advised to control the number of topics through the cluster model which is by default `HDBSCAN`. `HDBSCAN` has a parameter, namely `min_topic_size` that indirectly controls the number of topics that will be created.\n\nA higher `min_topic_size` will generate fewer topics and a lower `min_topic_size` will generate more topics. Here, we will go with `min_topic_size=40` to get around xxx topics.","metadata":{}},{"cell_type":"code","source":"from hdbscan import HDBSCAN\n\nhdbscan_model=HDBSCAN(min_cluster_size=300, metric='euclidean', cluster_selection_method='eom', prediction_data=True)\nhdbscan_model","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:24:58.484699Z","iopub.execute_input":"2024-04-14T10:24:58.485188Z","iopub.status.idle":"2024-04-14T10:24:58.495107Z","shell.execute_reply.started":"2024-04-14T10:24:58.485148Z","shell.execute_reply":"2024-04-14T10:24:58.494122Z"},"trusted":true},"execution_count":28,"outputs":[{"execution_count":28,"output_type":"execute_result","data":{"text/plain":"HDBSCAN(min_cluster_size=300, prediction_data=True)","text/html":"
HDBSCAN(min_cluster_size=300, prediction_data=True)
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"},"metadata":{}}]},{"cell_type":"markdown","source":"# Improving Default Representation\n\nThe default representation of topics is calculated through [c-TF-IDF](). However, c-TF-IDF is powered by the [CountVectorizer]() which converts text into tokens. Using the CountVectorizer, we can do a number of things:\n* Remove stopwords\n* Ignore inferquent words\n* Increase\n\nIn other words, we can preprocess the topic representations after documents are assigned to topics. This will not influence the clustering proess in any way. Here we will ignore English stopwords and infrequent words. Moreover, by increasing the n-gram range we will consider topic representations that are made up of one or two words.","metadata":{}},{"cell_type":"code","source":"from sklearn.feature_extraction.text import CountVectorizer\n\nvectorizer_model=CountVectorizer(stop_words='english', min_df=2, ngram_range=(1,2))\nvectorizer_model","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:16:27.115615Z","iopub.execute_input":"2024-04-14T10:16:27.116012Z","iopub.status.idle":"2024-04-14T10:16:27.123983Z","shell.execute_reply.started":"2024-04-14T10:16:27.115977Z","shell.execute_reply":"2024-04-14T10:16:27.123040Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"CountVectorizer(min_df=2, ngram_range=(1, 2), stop_words='english')","text/html":"
CountVectorizer(min_df=2, ngram_range=(1, 2), stop_words='english')
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"},"metadata":{}}]},{"cell_type":"markdown","source":"# Additional Representations","metadata":{}},{"cell_type":"code","source":"from bertopic.representation import KeyBERTInspired, MaximalMarginalRelevance, PartOfSpeech\n\nkeybert_model=KeyBERTInspired()\n\npos_model=PartOfSpeech('en_core_web_sm')\n\nmmr_model=MaximalMarginalRelevance(diversity=0.3)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:16:31.035031Z","iopub.execute_input":"2024-04-14T10:16:31.035758Z","iopub.status.idle":"2024-04-14T10:16:32.288135Z","shell.execute_reply.started":"2024-04-14T10:16:31.035722Z","shell.execute_reply":"2024-04-14T10:16:32.287012Z"},"trusted":true},"execution_count":13,"outputs":[]},{"cell_type":"code","source":"representation_model={\n 'KeyBERT':keybert_model,\n 'MMR':mmr_model,\n 'POS':pos_model\n}","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:16:35.180923Z","iopub.execute_input":"2024-04-14T10:16:35.181273Z","iopub.status.idle":"2024-04-14T10:16:35.185956Z","shell.execute_reply.started":"2024-04-14T10:16:35.181244Z","shell.execute_reply":"2024-04-14T10:16:35.184869Z"},"trusted":true},"execution_count":14,"outputs":[]},{"cell_type":"code","source":"# A list of contractions from http://stackoverflow.com/questions/19790188/expanding-english-language-contractions-in-python\ncontractions = { \n\"ain't\": \"am not\",\n\"aren't\": \"are not\",\n\"can't\": \"cannot\",\n\"can't've\": \"cannot have\",\n\"'cause\": \"because\",\n\"could've\": \"could have\",\n\"couldn't\": \"could not\",\n\"couldn't've\": \"could not have\",\n\"didn't\": \"did not\",\n\"doesn't\": \"does not\",\n\"don't\": \"do not\",\n\"hadn't\": \"had not\",\n\"hadn't've\": \"had not have\",\n\"hasn't\": \"has not\",\n\"haven't\": \"have not\",\n\"he'd\": \"he would\",\n\"he'd've\": \"he would have\",\n\"he'll\": \"he will\",\n\"he's\": \"he is\",\n\"how'd\": \"how did\",\n\"how'll\": \"how will\",\n\"how's\": \"how is\",\n\"i'd\": \"i would\",\n\"i'll\": \"i will\",\n\"i'm\": \"i am\",\n\"i've\": \"i have\",\n\"isn't\": \"is not\",\n\"it'd\": \"it would\",\n\"it'll\": \"it will\",\n\"it's\": \"it is\",\n\"let's\": \"let us\",\n\"ma'am\": \"madam\",\n\"mayn't\": \"may not\",\n\"might've\": \"might have\",\n\"mightn't\": \"might not\",\n\"must've\": \"must have\",\n\"mustn't\": \"must not\",\n\"needn't\": \"need not\",\n\"oughtn't\": \"ought not\",\n\"shan't\": \"shall not\",\n\"sha'n't\": \"shall not\",\n\"she'd\": \"she would\",\n\"she'll\": \"she will\",\n\"she's\": \"she is\",\n\"should've\": \"should have\",\n\"shouldn't\": \"should not\",\n\"that'd\": \"that would\",\n\"that's\": \"that is\",\n\"there'd\": \"there had\",\n\"there's\": \"there is\",\n\"they'd\": \"they would\",\n\"they'll\": \"they will\",\n\"they're\": \"they are\",\n\"they've\": \"they have\",\n\"wasn't\": \"was not\",\n\"we'd\": \"we would\",\n\"we'll\": \"we will\",\n\"we're\": \"we are\",\n\"we've\": \"we have\",\n\"weren't\": \"were not\",\n\"what'll\": \"what will\",\n\"what're\": \"what are\",\n\"what's\": \"what is\",\n\"what've\": \"what have\",\n\"where'd\": \"where did\",\n\"where's\": \"where is\",\n\"who'll\": \"who will\",\n\"who's\": \"who is\",\n\"won't\": \"will not\",\n\"wouldn't\": \"would not\",\n\"you'd\": \"you would\",\n\"you'll\": \"you will\",\n\"you're\": \"you are\"\n}","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:18:14.907336Z","iopub.execute_input":"2024-04-14T10:18:14.907724Z","iopub.status.idle":"2024-04-14T10:18:14.918354Z","shell.execute_reply.started":"2024-04-14T10:18:14.907691Z","shell.execute_reply":"2024-04-14T10:18:14.917194Z"},"trusted":true},"execution_count":17,"outputs":[]},{"cell_type":"code","source":"# Basic Text preprocessing \ndef clean_text(text):\n '''Make text lowercase, remove text in square brackets,remove links,remove punctuation\n and remove words containing numbers.'''\n # convert to lower case\n text = str(text).lower()\n \n # Replace contractions with their longer forms \n if True:\n text = text.split()\n new_text = []\n for word in text:\n if word in contractions:\n new_text.append(contractions[word])\n else:\n new_text.append(word)\n text = \" \".join(new_text)\n \n # remove urls\n text = re.sub('https?://\\S+|www\\.\\S+', '', text)\n # remove punctuation\n text = re.sub('[%s]' % re.escape(string.punctuation), '', text)\n # removes newline characters\n text = re.sub('\\n', '', text)\n # remove words containing numbers\n text = re.sub('\\w*\\d\\w*', '', text)\n return text\n\ndata['queryInEnglish'] = data['queryInEnglish'].apply(lambda x:clean_text(x))","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:18:36.933717Z","iopub.execute_input":"2024-04-14T10:18:36.934120Z","iopub.status.idle":"2024-04-14T10:18:37.753155Z","shell.execute_reply.started":"2024-04-14T10:18:36.934087Z","shell.execute_reply":"2024-04-14T10:18:37.752354Z"},"trusted":true},"execution_count":19,"outputs":[]},{"cell_type":"code","source":"dataset=data['queryInEnglish'].to_list()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:18:39.473175Z","iopub.execute_input":"2024-04-14T10:18:39.473555Z","iopub.status.idle":"2024-04-14T10:18:39.478826Z","shell.execute_reply.started":"2024-04-14T10:18:39.473526Z","shell.execute_reply":"2024-04-14T10:18:39.477899Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"code","source":"dataset[0]","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:19:01.062887Z","iopub.execute_input":"2024-04-14T10:19:01.063502Z","iopub.status.idle":"2024-04-14T10:19:01.069341Z","shell.execute_reply.started":"2024-04-14T10:19:01.063464Z","shell.execute_reply":"2024-04-14T10:19:01.068457Z"},"trusted":true},"execution_count":23,"outputs":[{"execution_count":23,"output_type":"execute_result","data":{"text/plain":"'if there is a pest in the cultivation of okra it will have to be given a bean '"},"metadata":{}}]},{"cell_type":"markdown","source":"# Training","metadata":{}},{"cell_type":"code","source":"from bertopic import BERTopic\n\ntopic_model=BERTopic(\n embedding_model=encoder,\n umap_model=umap_model,\n hdbscan_model=hdbscan_model,\n vectorizer_model=vectorizer_model,\n representation_model=representation_model,\n \n # hyperparameters\n top_n_words=10,\n verbose=True\n)\n\ntopics, probs=topic_model.fit_transform(dataset, corpus_embeddings)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:25:06.534534Z","iopub.execute_input":"2024-04-14T10:25:06.535392Z","iopub.status.idle":"2024-04-14T10:26:21.777548Z","shell.execute_reply.started":"2024-04-14T10:25:06.535358Z","shell.execute_reply":"2024-04-14T10:26:21.776558Z"},"trusted":true},"execution_count":29,"outputs":[{"name":"stderr","text":"2024-04-14 10:25:06,554 - BERTopic - Dimensionality - Fitting the dimensionality reduction algorithm\n2024-04-14 10:26:11,797 - BERTopic - Dimensionality - Completed ✓\n2024-04-14 10:26:11,799 - BERTopic - Cluster - Start clustering the reduced embeddings\n2024-04-14 10:26:18,840 - BERTopic - Cluster - Completed ✓\n2024-04-14 10:26:18,852 - BERTopic - Representation - Extracting topics from clusters using representation models.\n2024-04-14 10:26:21,592 - BERTopic - Representation - Completed ✓\n","output_type":"stream"}]},{"cell_type":"code","source":"topic_model.get_topic_info()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:27:31.574645Z","iopub.execute_input":"2024-04-14T10:27:31.575570Z","iopub.status.idle":"2024-04-14T10:27:31.641409Z","shell.execute_reply.started":"2024-04-14T10:27:31.575537Z","shell.execute_reply":"2024-04-14T10:27:31.640477Z"},"trusted":true},"execution_count":30,"outputs":[{"execution_count":30,"output_type":"execute_result","data":{"text/plain":" Topic Count Name \\\n0 -1 20289 -1_crop_scheme_wheat_bph \n1 0 2905 0_paddy_paddy crop_rice_paddy paddy \n2 1 2291 1_brinjal_tree_mango_fruit \n3 2 1916 2_poka_dhana_ra_ki \n4 3 1304 3_disease_insect_pesticides_pest \n5 4 1177 4_agriculture_odisha_farmer_farming \n6 5 933 5_moong_moong crop_moong cultivation_cultivation \n7 6 727 6_mustard_mustard crop_mustard cultivation_mus... \n8 7 698 7_worm_worms_case worm_prevention \n9 8 682 8_wheat_weed_weeds_wheat crop \n10 9 653 9_fertilizer_urea_fertilizers_dose \n11 10 611 10_ask_answer_plan_question \n12 11 548 11_potato_potatoes_scorch_potato crop \n13 12 456 12_kisan_pm_pm kisan_nidhi \n14 13 433 13_sow_wheat_sowing_sown \n15 14 418 14_control pests_pests paddy_crop control_pests \n16 15 395 15_soil_acid_acid soil_soil soil \n17 16 391 16_sugarcane_red_sugarcane crop_red rot \n18 17 357 17_seed_seeds_seed treatment_buy \n19 18 338 18_groundnut_nut_ground nut_ground \n20 19 316 19_apply government_odisha farmers_schemes odi... \n\n Representation \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, paddy crop, rice, paddy paddy, control... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [poka, dhana, ra, ki, roga, hai, pain, kana, c... \n4 [disease, insect, pesticides, pest, medicine, ... \n5 [agriculture, odisha, farmer, farming, schemes... \n6 [moong, moong crop, moong cultivation, cultiva... \n7 [mustard, mustard crop, mustard cultivation, m... \n8 [worm, worms, case worm, prevention, case, pad... \n9 [wheat, weed, weeds, wheat crop, weed control,... \n10 [fertilizer, urea, fertilizers, dose, fertiliz... \n11 [ask, answer, plan, question, eligibility, tha... \n12 [potato, potatoes, scorch, potato crop, blight... \n13 [kisan, pm, pm kisan, nidhi, samman, samman ni... \n14 [sow, wheat, sowing, sown, time, sow wheat, cr... \n15 [control pests, pests paddy, crop control, pes... \n16 [soil, acid, acid soil, soil soil, soil conser... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, seed treatment, buy, seed seed, ... \n19 [groundnut, nut, ground nut, ground, peanuts, ... \n20 [apply government, odisha farmers, schemes odi... \n\n KeyBERT \\\n0 [agriculture, agriculture related, benefits go... \n1 [paddy, paddy paddy, paddy bph, bph paddy, pad... \n2 [brinjal fruit, brinjal tree, brinjal trees, b... \n3 [roga poka, dhana, bindha poka, pokara, kanda ... \n4 [disease, disease pest, diseases, disease inse... \n5 [agriculture, agricultural, scheme agricultura... \n6 [moong, given moong, leaves moong, moong tree,... \n7 [mustard, mustard seed, mustard plant, medicin... \n8 [worm, worms, disease worms, worms control, ca... \n9 [crop weed, medicine wheat, wheat medicine, wh... \n10 [fertilizer, fertilizer fertilizer, fertilizer... \n11 [ask questions, questions, ask, asked, case st... \n12 [disease potatoes, potato, potatoes potato, le... \n13 [samman nidhi, pm kisan, kishan samman, kisan ... \n14 [sowing wheat, sow wheat, wheat sowing, wheat ... \n15 [pests paddy, control pests, crop pest, contro... \n16 [define soil, soil soil, soil, make soil, soil... \n17 [sugarcane, sugarcane explain, sugarcane use, ... \n18 [seed seed, seed, make seed, available seed, s... \n19 [ground nut, groundnut, groundnuts, groundnut ... \n20 [odisha farmers, schemes odisha, odisha govern... \n\n MMR \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, paddy crop, rice, paddy paddy, control... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [poka, dhana, ra, ki, roga, hai, pain, kana, c... \n4 [disease, insect, pesticides, pest, medicine, ... \n5 [agriculture, odisha, farmer, farming, schemes... \n6 [moong, moong crop, moong cultivation, cultiva... \n7 [mustard, mustard crop, mustard cultivation, m... \n8 [worm, worms, case worm, prevention, case, pad... \n9 [wheat, weed, weeds, wheat crop, weed control,... \n10 [fertilizer, urea, fertilizers, dose, fertiliz... \n11 [ask, answer, plan, question, eligibility, tha... \n12 [potato, potatoes, scorch, potato crop, blight... \n13 [kisan, pm, pm kisan, nidhi, samman, samman ni... \n14 [sow, wheat, sowing, sown, time, sow wheat, cr... \n15 [control pests, pests paddy, crop control, pes... \n16 [soil, acid, acid soil, soil soil, soil conser... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, seed treatment, buy, seed seed, ... \n19 [groundnut, nut, ground nut, ground, peanuts, ... \n20 [apply government, odisha farmers, schemes odi... \n\n POS \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, rice, control, crop, leaf, disease, pe... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [karibi, niyantran, kate, trafa, , , , , , ] \n4 [disease, pesticides, medicine, control, use, ... \n5 [agriculture, farmer, farming, schemes, farmer... \n6 [moong, cultivation, crop, variety, leaves, di... \n7 [mustard, variety, duration, crop, cultivation... \n8 [worm, worms, prevention, case, paddy, medicin... \n9 [wheat, weed, weeds, control, medicine, weedic... \n10 [fertilizer, urea, fertilizers, dose, wheat, z... \n11 [answer, plan, eligibility, example, study, qu... \n12 [potato, potatoes, scorch, blight, disease, la... \n13 [pm, nidhi, installment, salient, odia, featur... \n14 [wheat, sowing, time, crop, crops, production,... \n15 [pests, crop, paddy, tube, , , , , , ] \n16 [soil, acid, acid soil, define, conservation, ... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, treatment, available, subsidy, f... \n19 [groundnut, nut, ground, peanuts, groundnut cr... \n20 [farmers, schemes, government, marginal farmer... \n\n Representative_Docs \n0 [what scheme can i avail of agriculture relate... \n1 [paddy, paddy, paddy] \n2 [the brinjal planted fruit on the tree, what a... \n3 [dhana re kandabindha poka ra parichalana, dha... \n4 [disease, pesticides medicine, what is the med... \n5 [what is union agriculture , agriculture, agri... \n6 [moong varait, moong, moong trips] \n7 [mustard, taria mustard, powerymildew in musta... \n8 [the worm, matiagundia worm, the worm] \n9 [weed in wheat, weed in wheat, weed in wheat] \n10 [what is the name of fertilizer jingsal feder,... \n11 [ask what to ask like questions employee has... \n12 [potato septic disease, potato , potato] \n13 [pm kisan samman nidhi, pm kisan samman nidhi,... \n14 [when to sow wheat, when to sow wheat crop as ... \n15 [how do i control pests in paddy crop, how do ... \n16 [what is soil, what is soil, describe about te... \n17 [sugarcane, the sugarcane was squeeze, sugarca... \n18 [what is docot seed, seed viability , which se... \n19 [ground nut, ground nut , ground nut disease ] \n20 [how can farmers apply to government schemes i... ","text/html":"
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TopicCountNameRepresentationKeyBERTMMRPOSRepresentative_Docs
0-120289-1_crop_scheme_wheat_bph[crop, scheme, wheat, bph, variety, rabi, seed...[agriculture, agriculture related, benefits go...[crop, scheme, wheat, bph, variety, rabi, seed...[crop, scheme, wheat, bph, variety, rabi, seed...[what scheme can i avail of agriculture relate...
1029050_paddy_paddy crop_rice_paddy paddy[paddy, paddy crop, rice, paddy paddy, control...[paddy, paddy paddy, paddy bph, bph paddy, pad...[paddy, paddy crop, rice, paddy paddy, control...[paddy, rice, control, crop, leaf, disease, pe...[paddy, paddy, paddy]
2122911_brinjal_tree_mango_fruit[brinjal, tree, mango, fruit, coconut, leaves,...[brinjal fruit, brinjal tree, brinjal trees, b...[brinjal, tree, mango, fruit, coconut, leaves,...[brinjal, tree, mango, fruit, coconut, leaves,...[the brinjal planted fruit on the tree, what a...
3219162_poka_dhana_ra_ki[poka, dhana, ra, ki, roga, hai, pain, kana, c...[roga poka, dhana, bindha poka, pokara, kanda ...[poka, dhana, ra, ki, roga, hai, pain, kana, c...[karibi, niyantran, kate, trafa, , , , , , ][dhana re kandabindha poka ra parichalana, dha...
4313043_disease_insect_pesticides_pest[disease, insect, pesticides, pest, medicine, ...[disease, disease pest, diseases, disease inse...[disease, insect, pesticides, pest, medicine, ...[disease, pesticides, medicine, control, use, ...[disease, pesticides medicine, what is the med...
5411774_agriculture_odisha_farmer_farming[agriculture, odisha, farmer, farming, schemes...[agriculture, agricultural, scheme agricultura...[agriculture, odisha, farmer, farming, schemes...[agriculture, farmer, farming, schemes, farmer...[what is union agriculture , agriculture, agri...
659335_moong_moong crop_moong cultivation_cultivation[moong, moong crop, moong cultivation, cultiva...[moong, given moong, leaves moong, moong tree,...[moong, moong crop, moong cultivation, cultiva...[moong, cultivation, crop, variety, leaves, di...[moong varait, moong, moong trips]
767276_mustard_mustard crop_mustard cultivation_mus...[mustard, mustard crop, mustard cultivation, m...[mustard, mustard seed, mustard plant, medicin...[mustard, mustard crop, mustard cultivation, m...[mustard, variety, duration, crop, cultivation...[mustard, taria mustard, powerymildew in musta...
876987_worm_worms_case worm_prevention[worm, worms, case worm, prevention, case, pad...[worm, worms, disease worms, worms control, ca...[worm, worms, case worm, prevention, case, pad...[worm, worms, prevention, case, paddy, medicin...[the worm, matiagundia worm, the worm]
986828_wheat_weed_weeds_wheat crop[wheat, weed, weeds, wheat crop, weed control,...[crop weed, medicine wheat, wheat medicine, wh...[wheat, weed, weeds, wheat crop, weed control,...[wheat, weed, weeds, control, medicine, weedic...[weed in wheat, weed in wheat, weed in wheat]
1096539_fertilizer_urea_fertilizers_dose[fertilizer, urea, fertilizers, dose, fertiliz...[fertilizer, fertilizer fertilizer, fertilizer...[fertilizer, urea, fertilizers, dose, fertiliz...[fertilizer, urea, fertilizers, dose, wheat, z...[what is the name of fertilizer jingsal feder,...
111061110_ask_answer_plan_question[ask, answer, plan, question, eligibility, tha...[ask questions, questions, ask, asked, case st...[ask, answer, plan, question, eligibility, tha...[answer, plan, eligibility, example, study, qu...[ask what to ask like questions employee has...
121154811_potato_potatoes_scorch_potato crop[potato, potatoes, scorch, potato crop, blight...[disease potatoes, potato, potatoes potato, le...[potato, potatoes, scorch, potato crop, blight...[potato, potatoes, scorch, blight, disease, la...[potato septic disease, potato , potato]
131245612_kisan_pm_pm kisan_nidhi[kisan, pm, pm kisan, nidhi, samman, samman ni...[samman nidhi, pm kisan, kishan samman, kisan ...[kisan, pm, pm kisan, nidhi, samman, samman ni...[pm, nidhi, installment, salient, odia, featur...[pm kisan samman nidhi, pm kisan samman nidhi,...
141343313_sow_wheat_sowing_sown[sow, wheat, sowing, sown, time, sow wheat, cr...[sowing wheat, sow wheat, wheat sowing, wheat ...[sow, wheat, sowing, sown, time, sow wheat, cr...[wheat, sowing, time, crop, crops, production,...[when to sow wheat, when to sow wheat crop as ...
151441814_control pests_pests paddy_crop control_pests[control pests, pests paddy, crop control, pes...[pests paddy, control pests, crop pest, contro...[control pests, pests paddy, crop control, pes...[pests, crop, paddy, tube, , , , , , ][how do i control pests in paddy crop, how do ...
161539515_soil_acid_acid soil_soil soil[soil, acid, acid soil, soil soil, soil conser...[define soil, soil soil, soil, make soil, soil...[soil, acid, acid soil, soil soil, soil conser...[soil, acid, acid soil, define, conservation, ...[what is soil, what is soil, describe about te...
171639116_sugarcane_red_sugarcane crop_red rot[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, sugarcane explain, sugarcane use, ...[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, the sugarcane was squeeze, sugarca...
181735717_seed_seeds_seed treatment_buy[seed, seeds, seed treatment, buy, seed seed, ...[seed seed, seed, make seed, available seed, s...[seed, seeds, seed treatment, buy, seed seed, ...[seed, seeds, treatment, available, subsidy, f...[what is docot seed, seed viability , which se...
191833818_groundnut_nut_ground nut_ground[groundnut, nut, ground nut, ground, peanuts, ...[ground nut, groundnut, groundnuts, groundnut ...[groundnut, nut, ground nut, ground, peanuts, ...[groundnut, nut, ground, peanuts, groundnut cr...[ground nut, ground nut , ground nut disease ]
201931619_apply government_odisha farmers_schemes odi...[apply government, odisha farmers, schemes odi...[odisha farmers, schemes odisha, odisha govern...[apply government, odisha farmers, schemes odi...[farmers, schemes, government, marginal farmer...[how can farmers apply to government schemes i...
\n
"},"metadata":{}}]},{"cell_type":"code","source":"#To get all representations for a single topic, we simply run the following:\ntopic_model.get_topic(4, full=True)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:29:01.522198Z","iopub.execute_input":"2024-04-14T10:29:01.522591Z","iopub.status.idle":"2024-04-14T10:29:01.530907Z","shell.execute_reply.started":"2024-04-14T10:29:01.522561Z","shell.execute_reply":"2024-04-14T10:29:01.530021Z"},"trusted":true},"execution_count":32,"outputs":[{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"{'Main': [('agriculture', 0.11382990994222071),\n ('odisha', 0.10011492607847983),\n ('farmer', 0.08613944452686714),\n ('farming', 0.0725369436856289),\n ('schemes', 0.05837343321792601),\n ('farmers', 0.0577841606173724),\n ('agricultural', 0.05289852394094719),\n ('farm', 0.0445187483714174),\n ('department', 0.044074263716734195),\n ('scheme', 0.04264539155593236)],\n 'KeyBERT': [('agriculture', 0.92828184),\n ('agricultural', 0.89815557),\n ('scheme agricultural', 0.7803847),\n ('department agriculture', 0.7570596),\n ('schemes agriculture', 0.7543499),\n ('agriculture department', 0.75192195),\n ('agricultural schemes', 0.7480914),\n ('odisha agriculture', 0.7464147),\n ('agriculture extension', 0.74289244),\n ('farmers', 0.71894413)],\n 'MMR': [('agriculture', 0.11382990994222071),\n ('odisha', 0.10011492607847983),\n ('farmer', 0.08613944452686714),\n ('farming', 0.0725369436856289),\n ('schemes', 0.05837343321792601),\n ('farmers', 0.0577841606173724),\n ('agricultural', 0.05289852394094719),\n ('farm', 0.0445187483714174),\n ('department', 0.044074263716734195),\n ('scheme', 0.04264539155593236)],\n 'POS': [('agriculture', 0.11382990994222071),\n ('farmer', 0.08613944452686714),\n ('farming', 0.0725369436856289),\n ('schemes', 0.05837343321792601),\n ('farmers', 0.0577841606173724),\n ('agricultural', 0.05289852394094719),\n ('department', 0.044074263716734195),\n ('scheme', 0.04264539155593236),\n ('machinery', 0.0293397721545666),\n ('group', 0.027134608106777012)]}"},"metadata":{}}]},{"cell_type":"code","source":"topic_model.visualize_barchart(top_n_topics =20, n_words = 10).show()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:31:40.922212Z","iopub.execute_input":"2024-04-14T10:31:40.922580Z","iopub.status.idle":"2024-04-14T10:31:42.260277Z","shell.execute_reply.started":"2024-04-14T10:31:40.922549Z","shell.execute_reply":"2024-04-14T10:31:42.259350Z"},"trusted":true},"execution_count":34,"outputs":[{"output_type":"display_data","data":{"text/html":" \n "},"metadata":{}},{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"code","source":"topic_model.visualize_topics().show()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:32:07.613408Z","iopub.execute_input":"2024-04-14T10:32:07.614304Z","iopub.status.idle":"2024-04-14T10:32:11.818171Z","shell.execute_reply.started":"2024-04-14T10:32:07.614271Z","shell.execute_reply":"2024-04-14T10:32:11.817324Z"},"trusted":true},"execution_count":35,"outputs":[{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"code","source":"\n\n# or use one of the other topic representations, like KeyBERTInspired\nkeybert_topic_labels={topic: ' | '.join(list(zip(*values))[0][:3]) for topic, values in topic_model.topic_aspects_['KeyBERT'].items()}\ntopic_model.set_topic_labels(keybert_topic_labels)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:33:29.196607Z","iopub.execute_input":"2024-04-14T10:33:29.197042Z","iopub.status.idle":"2024-04-14T10:33:29.210857Z","shell.execute_reply.started":"2024-04-14T10:33:29.197013Z","shell.execute_reply":"2024-04-14T10:33:29.209847Z"},"trusted":true},"execution_count":36,"outputs":[]},{"cell_type":"markdown","source":"Now that we have set the updated topic labels, we can access them with the many functions used throughout BERTopic. Most notably, we can show the updated labels in visulizations with the `custom_labels=True` parameters. And we can see that `.get_topic_info` now also includes the column `CustomName`. That is the custom label that we just created for each topic.","metadata":{}},{"cell_type":"code","source":"topic_model.get_topic_info()","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:33:33.824182Z","iopub.execute_input":"2024-04-14T10:33:33.824844Z","iopub.status.idle":"2024-04-14T10:33:33.894915Z","shell.execute_reply.started":"2024-04-14T10:33:33.824810Z","shell.execute_reply":"2024-04-14T10:33:33.893928Z"},"trusted":true},"execution_count":37,"outputs":[{"execution_count":37,"output_type":"execute_result","data":{"text/plain":" Topic Count Name \\\n0 -1 20289 -1_crop_scheme_wheat_bph \n1 0 2905 0_paddy_paddy crop_rice_paddy paddy \n2 1 2291 1_brinjal_tree_mango_fruit \n3 2 1916 2_poka_dhana_ra_ki \n4 3 1304 3_disease_insect_pesticides_pest \n5 4 1177 4_agriculture_odisha_farmer_farming \n6 5 933 5_moong_moong crop_moong cultivation_cultivation \n7 6 727 6_mustard_mustard crop_mustard cultivation_mus... \n8 7 698 7_worm_worms_case worm_prevention \n9 8 682 8_wheat_weed_weeds_wheat crop \n10 9 653 9_fertilizer_urea_fertilizers_dose \n11 10 611 10_ask_answer_plan_question \n12 11 548 11_potato_potatoes_scorch_potato crop \n13 12 456 12_kisan_pm_pm kisan_nidhi \n14 13 433 13_sow_wheat_sowing_sown \n15 14 418 14_control pests_pests paddy_crop control_pests \n16 15 395 15_soil_acid_acid soil_soil soil \n17 16 391 16_sugarcane_red_sugarcane crop_red rot \n18 17 357 17_seed_seeds_seed treatment_buy \n19 18 338 18_groundnut_nut_ground nut_ground \n20 19 316 19_apply government_odisha farmers_schemes odi... \n\n CustomName \\\n0 agriculture | agriculture related | benefits g... \n1 paddy | paddy paddy | paddy bph \n2 brinjal fruit | brinjal tree | brinjal trees \n3 roga poka | dhana | bindha poka \n4 disease | disease pest | diseases \n5 agriculture | agricultural | scheme agricultural \n6 moong | given moong | leaves moong \n7 mustard | mustard seed | mustard plant \n8 worm | worms | disease worms \n9 crop weed | medicine wheat | wheat medicine \n10 fertilizer | fertilizer fertilizer | fertilizers \n11 ask questions | questions | ask \n12 disease potatoes | potato | potatoes potato \n13 samman nidhi | pm kisan | kishan samman \n14 sowing wheat | sow wheat | wheat sowing \n15 pests paddy | control pests | crop pest \n16 define soil | soil soil | soil \n17 sugarcane | sugarcane explain | sugarcane use \n18 seed seed | seed | make seed \n19 ground nut | groundnut | groundnuts \n20 odisha farmers | schemes odisha | odisha gover... \n\n Representation \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, paddy crop, rice, paddy paddy, control... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [poka, dhana, ra, ki, roga, hai, pain, kana, c... \n4 [disease, insect, pesticides, pest, medicine, ... \n5 [agriculture, odisha, farmer, farming, schemes... \n6 [moong, moong crop, moong cultivation, cultiva... \n7 [mustard, mustard crop, mustard cultivation, m... \n8 [worm, worms, case worm, prevention, case, pad... \n9 [wheat, weed, weeds, wheat crop, weed control,... \n10 [fertilizer, urea, fertilizers, dose, fertiliz... \n11 [ask, answer, plan, question, eligibility, tha... \n12 [potato, potatoes, scorch, potato crop, blight... \n13 [kisan, pm, pm kisan, nidhi, samman, samman ni... \n14 [sow, wheat, sowing, sown, time, sow wheat, cr... \n15 [control pests, pests paddy, crop control, pes... \n16 [soil, acid, acid soil, soil soil, soil conser... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, seed treatment, buy, seed seed, ... \n19 [groundnut, nut, ground nut, ground, peanuts, ... \n20 [apply government, odisha farmers, schemes odi... \n\n KeyBERT \\\n0 [agriculture, agriculture related, benefits go... \n1 [paddy, paddy paddy, paddy bph, bph paddy, pad... \n2 [brinjal fruit, brinjal tree, brinjal trees, b... \n3 [roga poka, dhana, bindha poka, pokara, kanda ... \n4 [disease, disease pest, diseases, disease inse... \n5 [agriculture, agricultural, scheme agricultura... \n6 [moong, given moong, leaves moong, moong tree,... \n7 [mustard, mustard seed, mustard plant, medicin... \n8 [worm, worms, disease worms, worms control, ca... \n9 [crop weed, medicine wheat, wheat medicine, wh... \n10 [fertilizer, fertilizer fertilizer, fertilizer... \n11 [ask questions, questions, ask, asked, case st... \n12 [disease potatoes, potato, potatoes potato, le... \n13 [samman nidhi, pm kisan, kishan samman, kisan ... \n14 [sowing wheat, sow wheat, wheat sowing, wheat ... \n15 [pests paddy, control pests, crop pest, contro... \n16 [define soil, soil soil, soil, make soil, soil... \n17 [sugarcane, sugarcane explain, sugarcane use, ... \n18 [seed seed, seed, make seed, available seed, s... \n19 [ground nut, groundnut, groundnuts, groundnut ... \n20 [odisha farmers, schemes odisha, odisha govern... \n\n MMR \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, paddy crop, rice, paddy paddy, control... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [poka, dhana, ra, ki, roga, hai, pain, kana, c... \n4 [disease, insect, pesticides, pest, medicine, ... \n5 [agriculture, odisha, farmer, farming, schemes... \n6 [moong, moong crop, moong cultivation, cultiva... \n7 [mustard, mustard crop, mustard cultivation, m... \n8 [worm, worms, case worm, prevention, case, pad... \n9 [wheat, weed, weeds, wheat crop, weed control,... \n10 [fertilizer, urea, fertilizers, dose, fertiliz... \n11 [ask, answer, plan, question, eligibility, tha... \n12 [potato, potatoes, scorch, potato crop, blight... \n13 [kisan, pm, pm kisan, nidhi, samman, samman ni... \n14 [sow, wheat, sowing, sown, time, sow wheat, cr... \n15 [control pests, pests paddy, crop control, pes... \n16 [soil, acid, acid soil, soil soil, soil conser... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, seed treatment, buy, seed seed, ... \n19 [groundnut, nut, ground nut, ground, peanuts, ... \n20 [apply government, odisha farmers, schemes odi... \n\n POS \\\n0 [crop, scheme, wheat, bph, variety, rabi, seed... \n1 [paddy, rice, control, crop, leaf, disease, pe... \n2 [brinjal, tree, mango, fruit, coconut, leaves,... \n3 [karibi, niyantran, kate, trafa, , , , , , ] \n4 [disease, pesticides, medicine, control, use, ... \n5 [agriculture, farmer, farming, schemes, farmer... \n6 [moong, cultivation, crop, variety, leaves, di... \n7 [mustard, variety, duration, crop, cultivation... \n8 [worm, worms, prevention, case, paddy, medicin... \n9 [wheat, weed, weeds, control, medicine, weedic... \n10 [fertilizer, urea, fertilizers, dose, wheat, z... \n11 [answer, plan, eligibility, example, study, qu... \n12 [potato, potatoes, scorch, blight, disease, la... \n13 [pm, nidhi, installment, salient, odia, featur... \n14 [wheat, sowing, time, crop, crops, production,... \n15 [pests, crop, paddy, tube, , , , , , ] \n16 [soil, acid, acid soil, define, conservation, ... \n17 [sugarcane, red, sugarcane crop, red rot, rot,... \n18 [seed, seeds, treatment, available, subsidy, f... \n19 [groundnut, nut, ground, peanuts, groundnut cr... \n20 [farmers, schemes, government, marginal farmer... \n\n Representative_Docs \n0 [what scheme can i avail of agriculture relate... \n1 [paddy, paddy, paddy] \n2 [the brinjal planted fruit on the tree, what a... \n3 [dhana re kandabindha poka ra parichalana, dha... \n4 [disease, pesticides medicine, what is the med... \n5 [what is union agriculture , agriculture, agri... \n6 [moong varait, moong, moong trips] \n7 [mustard, taria mustard, powerymildew in musta... \n8 [the worm, matiagundia worm, the worm] \n9 [weed in wheat, weed in wheat, weed in wheat] \n10 [what is the name of fertilizer jingsal feder,... \n11 [ask what to ask like questions employee has... \n12 [potato septic disease, potato , potato] \n13 [pm kisan samman nidhi, pm kisan samman nidhi,... \n14 [when to sow wheat, when to sow wheat crop as ... \n15 [how do i control pests in paddy crop, how do ... \n16 [what is soil, what is soil, describe about te... \n17 [sugarcane, the sugarcane was squeeze, sugarca... \n18 [what is docot seed, seed viability , which se... \n19 [ground nut, ground nut , ground nut disease ] \n20 [how can farmers apply to government schemes i... ","text/html":"
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TopicCountNameCustomNameRepresentationKeyBERTMMRPOSRepresentative_Docs
0-120289-1_crop_scheme_wheat_bphagriculture | agriculture related | benefits g...[crop, scheme, wheat, bph, variety, rabi, seed...[agriculture, agriculture related, benefits go...[crop, scheme, wheat, bph, variety, rabi, seed...[crop, scheme, wheat, bph, variety, rabi, seed...[what scheme can i avail of agriculture relate...
1029050_paddy_paddy crop_rice_paddy paddypaddy | paddy paddy | paddy bph[paddy, paddy crop, rice, paddy paddy, control...[paddy, paddy paddy, paddy bph, bph paddy, pad...[paddy, paddy crop, rice, paddy paddy, control...[paddy, rice, control, crop, leaf, disease, pe...[paddy, paddy, paddy]
2122911_brinjal_tree_mango_fruitbrinjal fruit | brinjal tree | brinjal trees[brinjal, tree, mango, fruit, coconut, leaves,...[brinjal fruit, brinjal tree, brinjal trees, b...[brinjal, tree, mango, fruit, coconut, leaves,...[brinjal, tree, mango, fruit, coconut, leaves,...[the brinjal planted fruit on the tree, what a...
3219162_poka_dhana_ra_kiroga poka | dhana | bindha poka[poka, dhana, ra, ki, roga, hai, pain, kana, c...[roga poka, dhana, bindha poka, pokara, kanda ...[poka, dhana, ra, ki, roga, hai, pain, kana, c...[karibi, niyantran, kate, trafa, , , , , , ][dhana re kandabindha poka ra parichalana, dha...
4313043_disease_insect_pesticides_pestdisease | disease pest | diseases[disease, insect, pesticides, pest, medicine, ...[disease, disease pest, diseases, disease inse...[disease, insect, pesticides, pest, medicine, ...[disease, pesticides, medicine, control, use, ...[disease, pesticides medicine, what is the med...
5411774_agriculture_odisha_farmer_farmingagriculture | agricultural | scheme agricultural[agriculture, odisha, farmer, farming, schemes...[agriculture, agricultural, scheme agricultura...[agriculture, odisha, farmer, farming, schemes...[agriculture, farmer, farming, schemes, farmer...[what is union agriculture , agriculture, agri...
659335_moong_moong crop_moong cultivation_cultivationmoong | given moong | leaves moong[moong, moong crop, moong cultivation, cultiva...[moong, given moong, leaves moong, moong tree,...[moong, moong crop, moong cultivation, cultiva...[moong, cultivation, crop, variety, leaves, di...[moong varait, moong, moong trips]
767276_mustard_mustard crop_mustard cultivation_mus...mustard | mustard seed | mustard plant[mustard, mustard crop, mustard cultivation, m...[mustard, mustard seed, mustard plant, medicin...[mustard, mustard crop, mustard cultivation, m...[mustard, variety, duration, crop, cultivation...[mustard, taria mustard, powerymildew in musta...
876987_worm_worms_case worm_preventionworm | worms | disease worms[worm, worms, case worm, prevention, case, pad...[worm, worms, disease worms, worms control, ca...[worm, worms, case worm, prevention, case, pad...[worm, worms, prevention, case, paddy, medicin...[the worm, matiagundia worm, the worm]
986828_wheat_weed_weeds_wheat cropcrop weed | medicine wheat | wheat medicine[wheat, weed, weeds, wheat crop, weed control,...[crop weed, medicine wheat, wheat medicine, wh...[wheat, weed, weeds, wheat crop, weed control,...[wheat, weed, weeds, control, medicine, weedic...[weed in wheat, weed in wheat, weed in wheat]
1096539_fertilizer_urea_fertilizers_dosefertilizer | fertilizer fertilizer | fertilizers[fertilizer, urea, fertilizers, dose, fertiliz...[fertilizer, fertilizer fertilizer, fertilizer...[fertilizer, urea, fertilizers, dose, fertiliz...[fertilizer, urea, fertilizers, dose, wheat, z...[what is the name of fertilizer jingsal feder,...
111061110_ask_answer_plan_questionask questions | questions | ask[ask, answer, plan, question, eligibility, tha...[ask questions, questions, ask, asked, case st...[ask, answer, plan, question, eligibility, tha...[answer, plan, eligibility, example, study, qu...[ask what to ask like questions employee has...
121154811_potato_potatoes_scorch_potato cropdisease potatoes | potato | potatoes potato[potato, potatoes, scorch, potato crop, blight...[disease potatoes, potato, potatoes potato, le...[potato, potatoes, scorch, potato crop, blight...[potato, potatoes, scorch, blight, disease, la...[potato septic disease, potato , potato]
131245612_kisan_pm_pm kisan_nidhisamman nidhi | pm kisan | kishan samman[kisan, pm, pm kisan, nidhi, samman, samman ni...[samman nidhi, pm kisan, kishan samman, kisan ...[kisan, pm, pm kisan, nidhi, samman, samman ni...[pm, nidhi, installment, salient, odia, featur...[pm kisan samman nidhi, pm kisan samman nidhi,...
141343313_sow_wheat_sowing_sownsowing wheat | sow wheat | wheat sowing[sow, wheat, sowing, sown, time, sow wheat, cr...[sowing wheat, sow wheat, wheat sowing, wheat ...[sow, wheat, sowing, sown, time, sow wheat, cr...[wheat, sowing, time, crop, crops, production,...[when to sow wheat, when to sow wheat crop as ...
151441814_control pests_pests paddy_crop control_pestspests paddy | control pests | crop pest[control pests, pests paddy, crop control, pes...[pests paddy, control pests, crop pest, contro...[control pests, pests paddy, crop control, pes...[pests, crop, paddy, tube, , , , , , ][how do i control pests in paddy crop, how do ...
161539515_soil_acid_acid soil_soil soildefine soil | soil soil | soil[soil, acid, acid soil, soil soil, soil conser...[define soil, soil soil, soil, make soil, soil...[soil, acid, acid soil, soil soil, soil conser...[soil, acid, acid soil, define, conservation, ...[what is soil, what is soil, describe about te...
171639116_sugarcane_red_sugarcane crop_red rotsugarcane | sugarcane explain | sugarcane use[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, sugarcane explain, sugarcane use, ...[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, red, sugarcane crop, red rot, rot,...[sugarcane, the sugarcane was squeeze, sugarca...
181735717_seed_seeds_seed treatment_buyseed seed | seed | make seed[seed, seeds, seed treatment, buy, seed seed, ...[seed seed, seed, make seed, available seed, s...[seed, seeds, seed treatment, buy, seed seed, ...[seed, seeds, treatment, available, subsidy, f...[what is docot seed, seed viability , which se...
191833818_groundnut_nut_ground nut_groundground nut | groundnut | groundnuts[groundnut, nut, ground nut, ground, peanuts, ...[ground nut, groundnut, groundnuts, groundnut ...[groundnut, nut, ground nut, ground, peanuts, ...[groundnut, nut, ground, peanuts, groundnut cr...[ground nut, ground nut , ground nut disease ]
201931619_apply government_odisha farmers_schemes odi...odisha farmers | schemes odisha | odisha gover...[apply government, odisha farmers, schemes odi...[odisha farmers, schemes odisha, odisha govern...[apply government, odisha farmers, schemes odi...[farmers, schemes, government, marginal farmer...[how can farmers apply to government schemes i...
\n
"},"metadata":{}}]},{"cell_type":"markdown","source":"# Topic-Document Distribution\n\nIf using `calculate_probabilities=True` is not possible, than we can [approximate the topic_document distributions]() using `.approximate_distribution`. It is a fast and flexisble method for creating different topic-document distributions.","metadata":{}},{"cell_type":"code","source":"# `topic_distr` contains the distribution of topics in each document\ntopic_distr, _ =topic_model.approximate_distribution(dataset, window=8, stride=4)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:33:51.360283Z","iopub.execute_input":"2024-04-14T10:33:51.360738Z","iopub.status.idle":"2024-04-14T10:33:52.487251Z","shell.execute_reply.started":"2024-04-14T10:33:51.360702Z","shell.execute_reply":"2024-04-14T10:33:52.486344Z"},"trusted":true},"execution_count":39,"outputs":[{"name":"stderr","text":"100%|██████████| 38/38 [00:01<00:00, 34.02it/s]\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Visualization\n\nVisualize the topic-document distribution for a single document","metadata":{}},{"cell_type":"code","source":"topic_model.visualize_distribution(topic_distr[0])","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:34:36.630451Z","iopub.execute_input":"2024-04-14T10:34:36.631372Z","iopub.status.idle":"2024-04-14T10:34:36.676732Z","shell.execute_reply.started":"2024-04-14T10:34:36.631339Z","shell.execute_reply":"2024-04-14T10:34:36.675560Z"},"trusted":true},"execution_count":44,"outputs":[{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"code","source":"# Visualize the topic-document distribution for a single documentA\ntopic_model.visualize_distribution(topic_distr[0], custom_labels=True)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:34:49.511626Z","iopub.execute_input":"2024-04-14T10:34:49.512516Z","iopub.status.idle":"2024-04-14T10:34:49.558585Z","shell.execute_reply.started":"2024-04-14T10:34:49.512472Z","shell.execute_reply":"2024-04-14T10:34:49.557702Z"},"trusted":true},"execution_count":45,"outputs":[{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"code","source":"\ntopic_distr, topic_token_distr=topic_model.approximate_distribution(dataset[0], calculate_tokens=True)\n\n# visualize the token-level distributions\ndf=topic_model.visualize_approximate_distribution(dataset[0], topic_token_distr[0])\ndf","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:35:21.543686Z","iopub.execute_input":"2024-04-14T10:35:21.544262Z","iopub.status.idle":"2024-04-14T10:35:21.578311Z","shell.execute_reply.started":"2024-04-14T10:35:21.544229Z","shell.execute_reply":"2024-04-14T10:35:21.577405Z"},"trusted":true},"execution_count":46,"outputs":[{"name":"stderr","text":"100%|██████████| 1/1 [00:00<00:00, 240.47it/s]\n","output_type":"stream"},{"execution_count":46,"output_type":"execute_result","data":{"text/plain":"","text/html":"\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
 ifthere is pest in the cultivation of okra it will have to be given bean
0_paddy_paddy crop_rice_paddy paddy0.1140.2280.3420.4560.3420.2280.1140.0000.0000.0000.0000.0000.0000.0000.0000.000
3_disease_insect_pesticides_pest0.2160.4320.6470.8060.5900.3740.1580.0000.0000.0000.0000.0000.0000.0000.0000.000
5_moong_moong crop_moong cultivation_cultivation0.0000.0000.0000.0000.1090.1090.1090.1090.0000.0000.0000.0000.0000.0000.0000.000
18_groundnut_nut_ground nut_ground0.0000.0000.0000.1110.2210.2210.2210.1110.0000.0000.0000.0000.0000.0000.0000.000
\n"},"metadata":{}}]},{"cell_type":"markdown","source":"## Tip - use_embedding_model\n\nAs a default, we compare the c-TF-IDF calculations between the token sets and all topics. Due to its bag-of-word representation, this is quite fast. However, we might want to use the selected embedding_model instrad to do this comparison. Do note that due to the many token sets, it is often computationally quite a bit slower:\n\n```python\ntopic_distr,_=topic_model.approximate_distribution(docs, use_embedding_model=True)\n```\n\n\n# Outlier Reduction\n\nBy default, HDBSCAN generates outliers which is helpful mechanic in creating accurate topic representations. However, you might want to assign every single documents to a topic. We can use `.reduce_outliers` to map some or all outliers to a topic:","metadata":{}},{"cell_type":"code","source":"# Reduce outliers\nnew_topics=topic_model.reduce_outliers(dataset,topics)\n\n# Reduce outliers with pre-calculate embeddings instead\nnew_topics=topic_model.reduce_outliers(dataset,topics, strategy='embeddings', embeddings=corpus_embeddings)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:36:14.996719Z","iopub.execute_input":"2024-04-14T10:36:14.997458Z","iopub.status.idle":"2024-04-14T10:36:16.816314Z","shell.execute_reply.started":"2024-04-14T10:36:14.997429Z","shell.execute_reply":"2024-04-14T10:36:16.815309Z"},"trusted":true},"execution_count":48,"outputs":[{"name":"stderr","text":"100%|██████████| 21/21 [00:01<00:00, 18.72it/s]\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Note-Update Topics with Outlier Reduction\n\nAfter having generated updated topic assignments, we can pass them to BERTopic in order to update the topic representations:\n\n```python\ntopic_model.update_topics(docs, topics=new_topics)\n```\n\nIt is important to realize that updating the topics this wat may lead to erroes if topic reduction ot topic merging techniques are used afterwards. The reason for this is that when you assign a -1 document to topic 1 and another -1 document to topic 2, it is unclear how you map the -1 documents. Is it matched to topic 1 or 2.\n\n\n# Visualize Topics\n\nWith visualizations, we are closing into the realm of subjective `best practices`. We will do the visualizations by using `topic_model.visulize_topics()` and `topic_model.visualize_hierarchy()`.","metadata":{}},{"cell_type":"code","source":"topic_model.visualize_topics(custom_labels=True)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:36:20.650249Z","iopub.execute_input":"2024-04-14T10:36:20.650931Z","iopub.status.idle":"2024-04-14T10:36:21.521729Z","shell.execute_reply.started":"2024-04-14T10:36:20.650902Z","shell.execute_reply":"2024-04-14T10:36:21.520868Z"},"trusted":true},"execution_count":49,"outputs":[{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"markdown","source":"# Visualize Documents\n\nWhen visualizing documents, it helps to have embedded the diocuments beforehand to spede up computation. Fortunately, we have already done that as a `best practice`. Visualizing documents in 2-dimensional space helps in understanding the underlying structure of the documents and topics.","metadata":{}},{"cell_type":"code","source":"# reduce dimensionality of embeddings, this step is optional but much faster to perform iteratively:\nreduced_embeddings=UMAP(n_neighbors=10, n_components=2, min_dist=0.0, metric='cosine').fit_transform(corpus_embeddings)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:36:39.513750Z","iopub.execute_input":"2024-04-14T10:36:39.514414Z","iopub.status.idle":"2024-04-14T10:37:32.806000Z","shell.execute_reply.started":"2024-04-14T10:36:39.514379Z","shell.execute_reply":"2024-04-14T10:37:32.805163Z"},"trusted":true},"execution_count":50,"outputs":[]},{"cell_type":"code","source":"# We can also hide the annotations\ntopic_model.visualize_documents(dataset, reduced_embeddings=reduced_embeddings, custom_labels=True, hide_annotations=True)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:38:18.214848Z","iopub.execute_input":"2024-04-14T10:38:18.215202Z","iopub.status.idle":"2024-04-14T10:38:18.675260Z","shell.execute_reply.started":"2024-04-14T10:38:18.215176Z","shell.execute_reply":"2024-04-14T10:38:18.673959Z"},"trusted":true},"execution_count":53,"outputs":[{"output_type":"display_data","data":{"text/html":"
"},"metadata":{}}]},{"cell_type":"markdown","source":"## Note - 2-dimensional space\n\nAlthough visualizing the documents in 2-dimensional gives an idea of their underlying structure, there is a risk involved. Visualizing the documents in 2-dimensional space means that we have lost significant information since the original embeddings were more than 384 dimensions. Condensing all that information in 2 dimensions is simply not possible. In other words, it is merely an `approximation`, albeit quite an accurate one.\n\n\n# Seialization\n\nWhen saving a BERTopic model, there are several ways in doing so. We can either save the entire model with `pickle`, `pytorch` or `safetensors`. When saving a model with `safetensors`, it skips over saving the dimensionality reduction and clustering models. The `.transform` function will still work without these models but instead assign topics based on the similarity between document embeddings and the topic embeddings.\n\nAs a result, the `.transform` step might give different results but is it generally worth it considering the smaller and significantly faster model.","metadata":{}},{"cell_type":"code","source":"embedding_model='sentence-transformers/all-MiniLM-L6-v2-topic'\ntopic_model.save('embedding_model', serialization='safetensors', save_ctfidf=True, save_embedding_model=embedding_model)","metadata":{"execution":{"iopub.status.busy":"2024-04-14T10:38:53.136653Z","iopub.execute_input":"2024-04-14T10:38:53.137031Z","iopub.status.idle":"2024-04-14T10:38:53.211535Z","shell.execute_reply.started":"2024-04-14T10:38:53.137005Z","shell.execute_reply":"2024-04-14T10:38:53.210566Z"},"trusted":true},"execution_count":54,"outputs":[]}]} \ No newline at end of file