https://github.com/hyoaru/anonalyze-process
A machine learning project part of the anonalyze initiative focused on sentiment and emotion classification through Natural Language Processing (NLP). Utilizing a Multinomial Naive Bayes classifier, this system analyzes Twitter data to predict sentiments (positive, negative, neutral) and emotions (sadness, joy, love, anger, fear, surprise).
https://github.com/hyoaru/anonalyze-process
feature-engineering machine-learning multinomial naive-bayes natural-language-processing python scikit-learn tf-idf
Last synced: 5 months ago
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A machine learning project part of the anonalyze initiative focused on sentiment and emotion classification through Natural Language Processing (NLP). Utilizing a Multinomial Naive Bayes classifier, this system analyzes Twitter data to predict sentiments (positive, negative, neutral) and emotions (sadness, joy, love, anger, fear, surprise).
- Host: GitHub
- URL: https://github.com/hyoaru/anonalyze-process
- Owner: hyoaru
- Created: 2024-08-23T07:14:09.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-09-04T15:47:55.000Z (5 months ago)
- Last Synced: 2025-09-04T17:40:47.790Z (5 months ago)
- Topics: feature-engineering, machine-learning, multinomial, naive-bayes, natural-language-processing, python, scikit-learn, tf-idf
- Language: HTML
- Homepage:
- Size: 450 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0