Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

News Reliability checker

Detecting FAKE news using machine learning. Gather a news and test it if it is REAL or FAKE.

Prerequisites

Python 3.x should be installed along with the followong libraries:

  • sklearn
  • pandas
  • csv

Usage Instructions:

  1. Extract the file 'news_for_training.csv' from 'news_for_training.rar' and paste it to '../Fake News Detection/Codes/'
  2. Now Run the file 'train_news.py' to train the model
  3. Next get the news to be tested. Copy and paste the news article in the 'get_news.txt' file
  4. Now run the 'txt2csv.py' to convert the txt file into a csv file
  5. Finally run the 'predict_news.py' to generate the result
the dataset used here is a dataset of political news

About

Detecting 'FAKE' news using machine learning.

Topics

Resources

Stars

2 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages