This project focuses on Natural Language Processing (NLP) techniques to analyze news articles and classify them as real or fake.
- Text Analysis
- POS Tagging
- Named Entity Recognition (NER)
- Sentiment Analysis
- Topic Modeling (using LDA)
- Fake News Classification
- Logistic Regression
- Support Vector Machine (SVM)