tychen5/NLP_FakeNewsDetection
Using machine learning & deep learning to analyze the News
This project helps journalists, media analysts, or fact-checkers quickly understand and classify news articles. By analyzing news content, it can categorize articles as true or false and identify key characteristics like emotional tone and frequently used words that distinguish them. The output is insights into news patterns, helping users gauge the veracity and nature of information.
No commits in the last 6 months.
Use this if you need to analyze large volumes of news content to identify patterns, classify articles by their truthfulness, and understand the linguistic traits of fake versus real news.
Not ideal if you need to detect fake news based on external factors like author credibility, publication history, or social media spread.
Stars
33
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 29, 2019
Commits (30d)
0
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