Detection-of-online-hate-speech-using-machine-learning khalid21456 · COMPLETED
Hate Speech Detector is a powerful NLP application designed to identify and flag sentences containing hate speech or offensive language within a given text. It leverages the capabilities of a fine-tuned BERT model, re-trained on the Hate Speech and Offensive Language Dataset, to deliver accurate and context-aware classification
github.com/khalid21456/Detection-of-online-hate-speech-using-machine-learning · ★ 1 · Forks 0 · Size 203 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 9 files · 10 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Flask FRAMEWORK Depth 53
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-05-11
Last commit 2025-05-20
Active months 1
Commits 10