Skip to content

Latest commit

 

History

History
61 lines (40 loc) · 1.23 KB

File metadata and controls

61 lines (40 loc) · 1.23 KB

fack-news-detection

Fack news Fake News📰 Classification WebApp using Python forthebadge made-with-python

Run Fake_News_Det.py, go to the http://127.0.0.1:5000/ If you want to build your model with the some changes, you can check the project.ipynb. You can check web app is working fine. Sometimes predictions may be wrong. Screenshots

Screenshot (15)

Note This project is just for learning purpose, don't think, it can do work in real time, because model was trained on historic & limited data. For real time building of this kind of system, we need updated dataset and we need to build a model in particular interval of time, because news data can be updated in seconds, so our model should be also updated with the data. About

Fake News Classification WebApp using Flask & Python

Resources

  • Python 3.7
  • jupyter
  • Flask
  • BeautifulSoup And some of the libraries like
  • sklearn
  • re
  • Pandas
  • Numpy
  • Requests
  • Nltk
  • Seaborn
  • wordcloud
  • Matplotlib.pyplot as plt

using this website i did the web scraping

Footer © 2022 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs Co