Deep learning models to identify clickbaits taking content into consideration
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Updated
Apr 7, 2017 - Python
Deep learning models to identify clickbaits taking content into consideration
A machine learning driven Clickbait classifier.
Generating Clickbait Titles with Machine Learning
A chat server and cleint using python and the google drive API.
Automatic clickbait detection and content extraction in social media.
This repository represent an AI method to classify an article as clickbait or non-clickbait
Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.
[ASONAM 2019] Synthetic Texts (clickbaits) Generation using Different Variations of VAE. Code for paper "5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines"
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
A proof of concept, combining the submissions to the ClickbaitChallenge2017 into a meta machine learning model.
[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
A Naive Bayes classifier to detect clickbait headlines
Better youtube recommendations
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