manashpratim/Tweet-Classification
Detect hate speech in tweets
This tool helps social media managers and content moderators automatically identify hate speech within Twitter data. You provide a collection of tweets, and it tells you which ones likely contain hate speech. This is ideal for anyone monitoring online discourse or managing brand safety on social media.
No commits in the last 6 months.
Use this if you need to quickly filter through a large volume of tweets to pinpoint potential hate speech.
Not ideal if you require a multi-label classification for different types of harmful content beyond general hate speech.
Stars
9
Forks
1
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jul 10, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/manashpratim/Tweet-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
unitaryai/detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built...
kensk8er/chicksexer
A Python package for gender classification.
Infinitode/ValX
ValX is an open-source Python package for text cleaning tasks, including profanity detection and...
PavelOstyakov/toxic
Toxic Comment Classification Challenge
minerva-ml/open-solution-toxic-comments
Open solution to the Toxic Comment Classification Challenge