Fake-Review-Detector AmirhosseinHonardoust · COMPLETED
An AI-powered Fake Review Detector built with Python, Streamlit, and Scikit-learn. Uses TF-IDF vectorization, Logistic Regression, and behavioral text analytics (sentiment, exclamations, clichés) to identify synthetic or spammy product reviews. Includes training scripts and a full interactive dashboard.
github.com/AmirhosseinHonardoust/Fake-Review-Detector · ★ 28 · Forks 2 · Size 76 KB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 13 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
5 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 59
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-31
Last commit 2025-10-31
Active months 1
Commits 3