fake-news-detection

Machine learning model for fake news detection using NLP techniques like TF-IDF and classification algorithms (SVM, Logistic Regression).

Fake News Detection using NLP

🔗 Project Link

https://github.com/Bitu-Singh-Rathoud/fake-news-detection

📌 Overview

This project builds a machine learning model to detect fake news articles using Natural Language Processing (NLP). It processes textual data, extracts meaningful features, and classifies news as real or fake.

🚀 Features

• Text preprocessing (tokenization, stopword removal, cleaning)
• Feature extraction using TF-IDF
• Classification using Machine Learning models (Logistic Regression, SVM)
• Model evaluation using accuracy, precision, recall, F1-score

🛠 Tech Stack

• Python
• Scikit-learn
• NLP (TF-IDF)
• Pandas, NumPy

📊 Results

• Achieved high accuracy in classifying fake vs real news
• Effective feature extraction using TF-IDF
• Improved model performance using tuning techniques

▶️ How to Run

pip install -r requirements.txt
python main.py