Spanish word embeddings computed with different methods and from different corpora
-
Updated
Oct 9, 2019
#
word2vec-embeddinngs
Here are 69 public repositories matching this topic...
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
-
Updated
Nov 19, 2023 - Python
Sentiment Analysis on Loksabha Elections 2019
natural-language-processing sentiment-analysis word2vec support-vector-machine tweet-analysis word2vec-embeddinngs loksabha
-
Updated
Feb 18, 2020 - Jupyter Notebook
M.Sc. mini project for NLP class (M908)
text-classification cnn pattern-library dal flesch-kincaid-grade-level svm-classifier classification-algorithm emotion-recognition anxiety bilstm liwc-dictionaries word2vec-embeddinngs stress-analysis depression-detection bert-embeddings text-embeddings bigru dreaddit
-
Updated
Nov 15, 2022 - Python
I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.
sentiment-analysis word2vec-model sentiment-classification textblob nltk-python textblob-sentiment-analysis word2vec-embeddinngs large-language-models llm genai genai-sentiment-analysis llm-sentiment-analysis
-
Updated
Nov 2, 2024 - Jupyter Notebook
Checkout my adventures into NLP here.
-
Updated
May 25, 2022 - Jupyter Notebook
This is final project of Information Retrieval course which is implementation of a search engine
search-engine information-retrieval word2vec inverted-index kmeans cosine-similarity preprocessing word2vec-model knn tfidf kmeans-clustering wordembedding kmeans-algorithm wordembeddings word2vec-algorithm knn-classification searchengine knn-algorithm word2vec-embeddinngs tfidf-vectorizer
-
Updated
Aug 5, 2022 - Python
Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE
python nlp word2vec skipgram wordembedding glove-python glove-vectors glove-embeddings gensim-word2vec word2vec-embeddinngs
-
Updated
Jun 15, 2023 - Jupyter Notebook
In this project we will be building a text classifier using LSTM and Wor2vec
-
Updated
Jan 16, 2023 - Python
My work as machine learning intern. Unsupervised Text Clustering and Topic Modeling
machine-learning python3 topic-modeling clustering-algorithm unsupervised-machine-learning glove-embeddings doc2vec-model word2vec-embeddinngs fassstext
-
Updated
May 19, 2021 - Jupyter Notebook
Comparison of contextual (BERT) and uncontextual (GloVe and Word2Vec) word embeddings in the task of music genre classification from lyrics.
-
Updated
Mar 20, 2020 - Jupyter Notebook
Sentiment analysis is the process of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers.
sentiment-analysis bag-of-words decision-tree-classifier cnn-keras svm-classifier multinomial-naive-bayes imdb-dataset word2vec-embeddinngs
-
Updated
May 4, 2021 - Jupyter Notebook
NLP demos and talks made with Jupyter Notebook and reveal.js
python nlp machine-learning forums sentiment-analysis text-classification text-similarity jupyter-notebook spacy transformer pca-analysis chinese-traditional customer-reviews reavealjs word2vec-embeddinngs tfidf-vectorizer
-
Updated
Jul 12, 2025 - Jupyter Notebook
AI, Innovation, and Growth Final Project
productivity machine-learning ai word2vec innovation growth economics patents patent-data word2vec-embeddinngs
-
Updated
Apr 13, 2025 - Jupyter Notebook
Using LSTM model to classify text into fake or real
-
Updated
Oct 17, 2024 - Jupyter Notebook
Starter code to solve real-world text data problems related to job advertisements. Includes: Word2Vec, phrase embeddings, Text Classification with Logistic Regression, simple text preprocessing, pre-trained embeddings and more.
nlp text-mining text-classification text-processing word2vec-model countvectorizer gensim-word2vec word2vec-embeddinngs tfidf-vectorizer
-
Updated
Jun 20, 2024 - Jupyter Notebook
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.
natural-language-processing text-classification word2vec transformer bag-of-words tf-idf bow gutenberg nlp-machine-learning tokenization lemmatization error-analysis word-embedding n-gram word2vec-embeddinngs term-frequency-inverse-document-frequency
-
Updated
Jan 12, 2024 - Jupyter Notebook
Extra tools for working with word embeddings, such as those in Embeddings.jl. However, the compatibility is currently limited.
text-mining julia word2vec word-embeddings text-analysis embeddings julia-package word-embedding word2vec-embeddinngs
-
Updated
Nov 18, 2024 - Julia
🎬 Analyze movie reviews sentiment in real-time with "Sentiment Analysis on Movie Reviews using Word2Vec"! Powered by advanced NLP and deployed using Streamlit, this app categorizes reviews as positive or negative. Perfect for film enthusiasts and industry professionals! 🍿📊
-
Updated
Jul 19, 2024 - Python
Projects of Machine learning and Deep learning
nlp machine-learning natural-language-processing text-classification tensorflow word2vec word-embeddings wordnet image-classification document-classification convolutional-neural-networks corpus-data distance-measures kmeans-clustering time-series-analysis glove-embeddings dynamictimewarp graph-based-model word2vec-embeddinngs pearson-correlation-coefficient
-
Updated
Nov 24, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the word2vec-embeddinngs topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the word2vec-embeddinngs topic, visit your repo's landing page and select "manage topics."