https://github.com/singhkunwardeep/twitter_sentiment_analysis
A machine learning project to classify Twitter sentiment into positive, negative, categories using Logistic Regression and TF-IDF Vectorization. This project involves data preprocessing, feature extraction, model training, and evaluation of the sentiment of tweets. Built with Python, NLTK, and Scikit-learn.
https://github.com/singhkunwardeep/twitter_sentiment_analysis
logistic-regression nltk-python pandas-dataframe python3 scikit-learn tfidf-vectorizer
Last synced: 8 months ago
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A machine learning project to classify Twitter sentiment into positive, negative, categories using Logistic Regression and TF-IDF Vectorization. This project involves data preprocessing, feature extraction, model training, and evaluation of the sentiment of tweets. Built with Python, NLTK, and Scikit-learn.
- Host: GitHub
- URL: https://github.com/singhkunwardeep/twitter_sentiment_analysis
- Owner: singhkunwardeep
- Created: 2025-04-28T10:20:57.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-04-28T10:37:23.000Z (8 months ago)
- Last Synced: 2025-04-28T11:43:09.348Z (8 months ago)
- Topics: logistic-regression, nltk-python, pandas-dataframe, python3, scikit-learn, tfidf-vectorizer
- Language: Jupyter Notebook
- Homepage:
- Size: 23.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0