https://github.com/carooot1/fake-news-detection
This project focuses on detecting fake news using machine learning algorithms such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and Gradient Boost Classifier. It preprocesses text, extracts features with TF-IDF, and evaluates performance using accuracy, precision, recall, F1 score, and support.
https://github.com/carooot1/fake-news-detection
benchmarking bert-siamese fakenewsdetection graphneuralnetwork liar liar-plus misinformation nlp social-media svm-classifier tensorflow text-analysis text-mining wordcloud
Last synced: 7 months ago
JSON representation
This project focuses on detecting fake news using machine learning algorithms such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and Gradient Boost Classifier. It preprocesses text, extracts features with TF-IDF, and evaluates performance using accuracy, precision, recall, F1 score, and support.
- Host: GitHub
- URL: https://github.com/carooot1/fake-news-detection
- Owner: CaRoOoT1
- Created: 2025-03-04T11:36:00.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-04T13:02:30.000Z (7 months ago)
- Last Synced: 2025-03-04T13:25:19.048Z (7 months ago)
- Topics: benchmarking, bert-siamese, fakenewsdetection, graphneuralnetwork, liar, liar-plus, misinformation, nlp, social-media, svm-classifier, tensorflow, text-analysis, text-mining, wordcloud
- Language: Jupyter Notebook
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0