Dipanshu7777/bullying-detector
Cyberbullying Detection App using BERT NLP and Streamlit
This tool helps community managers, content moderators, and online platform administrators automatically identify and flag harmful text. You input raw text, like user comments or social media posts, and it tells you whether the content is bullying or not. It's designed for anyone responsible for maintaining a safe and respectful online environment.
No commits in the last 6 months.
Use this if you need to quickly and accurately detect cyberbullying, insults, or toxic comments in large volumes of user-generated text.
Not ideal if you need to detect highly nuanced or domain-specific forms of hate speech that go beyond general bullying and toxicity.
Stars
7
Forks
2
Language
Python
License
—
Category
Last pushed
Jul 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Dipanshu7777/bullying-detector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Hironsan/HateSonar
Hate Speech Detection Library for Python.
t-davidson/hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive...
franciellevargas/HateBR
HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for...
rishabhmisra/News-Headlines-Dataset-For-Sarcasm-Detection
High quality dataset for the task of Sarcasm Detection
b4k0/CBDA
Cyber Bullying Detection Application (CBDA)