Fake News Detection with a Bi-directional LSTM in Keras
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Updated
Dec 10, 2021 - Jupyter Notebook
Fake News Detection with a Bi-directional LSTM in Keras
Developed for the Advanced Statistics for Physics Analysis course, the implementation is carried out using the R language.
Detects fake news... or, maybe generates fake news... not so sure.
Hierarchical Attention Neural Network For Fake News Detection
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
A chrome extension that flags fake and toxic comments in your feed along with providing analysis on your session (Overview: https://www.youtube.com/watch?v=8MW87kjw2bw)
This repo contains the submission for creating a Binary classifier for fake news detection to the IBM Machine Learning Hackathon hosted in Jan 2018 at IISc. Banglore
Movie Recommendation System🎥 , Fake News Detection 🗞
Fake news classifier using LSTM
Performing Natural Language Processing using NLTK, TfidfVectorizer to classify fake news with a Logistic Regression model.
Covid-19 tweets have been been classified into real and fake news using machine learning algorithms.
Fake news analysis and classification
Thesis Project
fake news detection using passive Aggresive classifier
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
Repository for holding proposed solution to Sentinel's home assignment, which consisted of a fake news detection system
Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.
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