https://github.com/fyt3rp4til/fake-news-detection-nlp

https://github.com/fyt3rp4til/fake-news-detection-nlp

nltk numpy pandas python3 sklearn

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/fyt3rp4til/fake-news-detection-nlp
• Owner: FYT3RP4TIL
• Created: 2023-09-24T15:12:20.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-27T06:59:25.000Z (over 1 year ago)
• Last Synced: 2025-01-14T07:13:52.806Z (4 months ago)
• Topics: nltk, numpy, pandas, python3, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 39.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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.

![Screenshot 2023-09-27 022804](https://github.com/Sudhanshu21xx/Fake-News-Detection-NLP/assets/113416452/6c940d88-d823-456a-b666-dc61e331aef3)

## Dataset Description

* True.csv: True collected news from various articles, sources.

* Fake.csv: Fake collected news from various articles, sources.

  

![Screenshot 2023-09-27 022942](https://github.com/Sudhanshu21xx/Fake-News-Detection-NLP/assets/113416452/98913d1f-8e61-4dd9-ae13-6d83ba92f34f)

## 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](https://www.geeksforgeeks.org/nlp-how-tokenizing-text-sentence-words-works/)

 * [Stemming](https://www.geeksforgeeks.org/introduction-to-stemming/)

 * [Stopword Removal](https://www.geeksforgeeks.org/removing-stop-words-nltk-python/)

 * [Splitting Data](https://www.geeksforgeeks.org/how-to-split-a-dataset-into-train-and-test-sets-using-python/)

 * [Vectorization](https://www.geeksforgeeks.org/feature-extraction-techniques-nlp/)

## Model Used 

 * [Logestic Regression](https://www.geeksforgeeks.org/understanding-logistic-regression/)

 * [Passive Agressive Classifier](https://www.geeksforgeeks.org/passive-aggressive-classifiers/)