btboilerplate/Fake-News-Detection-using-LSTM-and-BiLSTM
Compares LSTM and Bidirectional LSTM models for fake news detection, highlighting how bidirectional context improves text classification performance using deep learning.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/btboilerplate/Fake-News-Detection-using-LSTM-and-BiLSTM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mihail911/fake-news
Building a fake news detector from initial ideation to model deployment
palewire/storysniffer
Inspect a URL and estimate if it contains a news story
FakeNewsChallenge/fnc-1-baseline
A baseline implementation for FNC-1
google-research/fool-me-twice
Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification...
pmacinec/fake-news-datasets
This repository contains list of available fake news datasets for data mining.