Sentiment-Analysis-BERT AmirhosseinHonardoust · COMPLETED
End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-tuning of transformer models for text classification with modular, reproducible code.
github.com/AmirhosseinHonardoust/Sentiment-Analysis-BERT · ★ 37 · Forks 0 · Size 743 KB
SUMMARY
Technologies 12
Scored 12
Observed 12
Practices 6
Evidence 14
Skips 0
COVERAGE
Analyzed 35 files · 36 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
5 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
14 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
MongoDB DATABASE Depth 69
2 files · CONFIGURATION
NumPy LIBRARY Depth 78
5 files · PRODUCTION, TEST
Redis CACHE Depth 69
2 files · CONFIGURATION
pandas LIBRARY Depth 78
11 files · PRODUCTION, TEST
pytest TESTING Depth 66
3 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-17
Last commit 2026-09-09
Active months 2
Commits 36