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Madhav0708

Madhav0708

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nlp-recipes

Natural Language Processing Best Practices & Examples

Language:PythonLicense:MITStargazers:6388Issues:188Issues:211

detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Language:PythonLicense:Apache-2.0Stargazers:982Issues:15Issues:63

toxicity

The world's largest social media toxicity dataset.

License:MITStargazers:178Issues:7Issues:1

HatefulUsersTwitter

Code for the paper "Characterizing and Detecting Hateful Users on Twitter"

Language:Jupyter NotebookLicense:MITStargazers:73Issues:5Issues:7

detecting-offensive-language-in-tweets

Detecting cyberbullying in tweets using Machine Learning

Language:Jupyter NotebookLicense:MITStargazers:36Issues:3Issues:0

restrict-cursing-action

Github Action to prevent cursing and bad language in issues and pull requests

Language:JavaScriptLicense:MITStargazers:23Issues:3Issues:7

compassionate-comments

A WordPress plugin that uses AI to encourage authors of toxic comments to re-phrase them in a more kind way.

Language:JavaScriptStargazers:20Issues:3Issues:0

fair_cyberbullying_detection

Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020

Language:Jupyter NotebookLicense:MITStargazers:20Issues:3Issues:1

cuss_inspect

A basic and simple yet powerful Python library to detect toxicity/profanity of a review or list of reveiws.

Language:PythonLicense:MITStargazers:10Issues:4Issues:0

Abusive-Comment-Recognition-and-Deletion-in-Live-Chat

Minor Project - Abusive Comment Recognition and Deletion in Live Chat

Language:JavaScriptStargazers:4Issues:1Issues:0

Detoxit

Cyberbullying and online abuse have been continuously rising at an alarming rate. This is detrimental to the mental state of teenagers and one of the biggest factors leading to depression. Manually determining the toxicity of the comments in the plethora of data generated on a daily basis is an impossible task. Automating the detection and censorship of such toxic comments by the social media platforms can go a long way in solving this issue. But detection of toxic comments is a very daunting task because of various factors such as context, perception, vocabulary etc.

Language:Jupyter NotebookStargazers:2Issues:3Issues:0

Abusive-Content-detection-on-online-social-media-forums

Detect abusive text in social media forums

Language:PythonStargazers:2Issues:1Issues:0