README.md

Fake News Detection

Overview

The topic of fake news detection on social media has recently attracted tremendous attention. The basic countermeasure of comparing websites against a list of labeled fake news sources is inflexible, and so a machine learning approach is desirable. Our project aims to use Natural Language Processing to detect fake news directly, based on the text content of news articles.

Dataset Description

• True.csv: True collected news from various articles, sources.
• Fake.csv: Fake collected news from various articles, sources.

Try It Out

1. Clone the repo to your local machine-
   > https://github.com/Sudhanshu21xx/Fake-News-Detection-NLP.git
> cd Fake-news-Detection

2. Make sure you have all the dependencies installed-

• python 3.6+
• numpy
• tensorflow
• pandas
• sklearn
• nltk
  • For nltk, run these commands in your notebook --
    • >>> import nltk
    • >>> nltk.download()}

Methodologies Used

• Tokenization
• Stemming
• Stopword Removal
• Splitting Data
• Vectorization

Model Used

• Logestic Regression
• Passive Agressive Classifier