Sentiment Analysis

Welcome to the Sentiment Analysis repository! This project is dedicated to exploring and implementing sentiment analysis methodologies using Jupyter Notebook.

Directory Overview

Prabowo Gibran Sentimen

• Dataset.xlsx: Contains raw sentiment data.
• Lemmatization.txt: Words processed for lemmatization.
• Normalization.txt: Details text normalization steps.
• Slang.txt: List of slang words with standard translations.
• Stopword.txt: Common stopwords for filtering text.
• sentimen pisah.xlsx: Organized sentiment dataset.

sentiment-analysis-on-bitcoin-and-stock

• kripto_vs_saham_yt_video.ipynb: Notebook analyzing sentiment trends in cryptocurrency and stock videos.

sentiment_analysis_2024_presidential_campaign

• Reference.txt: Resources and references for the campaign analysis.
• requirements.txt: Necessary Python libraries for the project.

Key Features

• Implementation of sentiment analysis on diverse topics.
• Tools for preprocessing, normalization, and slang handling.
• Analysis of financial and political sentiment trends.
• Well-documented workflows using Jupyter Notebooks.

Setup

To set up the environment, use the following command:

pip install -r sentiment_analysis_2024_presidential_campaign/requirements.txt

Contributing

Feel free to fork the repository and create pull requests to add more features or improvements.