GitHub / chiraag-kakar / FUND
An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chiraag-kakar%2FFUND
PURL: pkg:github/chiraag-kakar/FUND
Stars: 5
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 11.1 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: about 4 years ago
Pushed at: almost 5 years ago
Last synced at: 3 months ago
Topics: confusion-matrix, fake-news, machine-learning-algorithms, news-article, passive-aggressive-classifier, project, sklearn, tf-idf, tfidf-text-analysis, tfidf-vectorizer, tfidfvectorizer