Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
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Updated
Mar 16, 2017 - Python
Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
Fake news generator and detector using keras
Detecting fake news through emotional sentiment analysis
Using machine learning algorithms to detect fake/malicious news articles (Master's thesis research project)
Amdocs Fake News Detector
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
Fake news analysis and classification
Used BERT embeddings on LIAR dataset for multi-class classification to achieve state-of-the-art results.
Hierarchical Attention Neural Network For Fake News Detection
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Detects fake news... or, maybe generates fake news... not so sure.
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.
Classify whether a news is True or Fake
A Fake News Detector based on google searches and a magic algorithm to calculate the score for authenticity of a given news.
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
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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