https://github.com/nazchanel/fake-news-detection-algorithm
A fake news detection algorithm. This repository contains the various variations of my original project. WIP.
https://github.com/nazchanel/fake-news-detection-algorithm
dataset deep-learning fake-news-detection machine-learning-algorithms natural-language-processing scikit-learn work-in-progress
Last synced: 8 months ago
JSON representation
A fake news detection algorithm. This repository contains the various variations of my original project. WIP.
- Host: GitHub
- URL: https://github.com/nazchanel/fake-news-detection-algorithm
- Owner: Nazchanel
- License: mit
- Created: 2022-12-04T02:04:48.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-03-23T03:07:25.000Z (over 2 years ago)
- Last Synced: 2025-01-03T15:12:03.124Z (9 months ago)
- Topics: dataset, deep-learning, fake-news-detection, machine-learning-algorithms, natural-language-processing, scikit-learn, work-in-progress
- Language: Jupyter Notebook
- Homepage:
- Size: 37.5 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
WARNING: CODE CURRENTLY BEING ORGANIZED
# Fake News Detection
Completed for the UTD 9 week AI Workshop. Detects fake news with a given text input.
## Google Colab link:
https://colab.research.google.com/drive/1FOD9tMG3YMpvAgO3_Dq9PDgf9aYKd5OW?usp=sharing
## Presentation:
https://docs.google.com/presentation/d/1rVVSP1Ch2L15F1XHp9MVh4enWIR-1-yHwjybHSG_ba8/edit?usp=sharing
## Link for first dataset:
https://drive.google.com/drive/folders/13jdi2NxkiPWbyAtG1P1jWNI6qbXvBbfE?usp=sharing## Link for second dataset:
https://drive.google.com/drive/folders/1-iBYOUtdmCTk9D14FGBdVKFYLh1F2BMc?usp=sharing## Sources/Credits:
Dataset 1: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset
Dataset 2: https://www.kaggle.com/shivkumarganesh/politifact-factcheck-data
Visualization: https://www.kaggle.com/devanshiipatel/fake-news-classification
Special thanks to https://towardsdatascience.com/ for the resources and explanations