Sentiment-Analysis-NLP AmirhosseinHonardoust · COMPLETED
Customer reviews sentiment analysis with Python and NLP. Generates a synthetic dataset of positive, neutral, and negative reviews, applies preprocessing (tokenization, stopwords, lemmatization), and builds TF-IDF features. Trains classifiers (Naive Bayes, Logistic Regression, Random Forest) with evaluation, confusion matrix and top features.
github.com/AmirhosseinHonardoust/Sentiment-Analysis-NLP · ★ 26 · Forks 2 · Size 652 KB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 27 files · 25 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
10 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 73
3 files · PRODUCTION, TEST
pandas LIBRARY Depth 81
5 files · PRODUCTION, TEST
pytest TESTING Depth 49
4 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-10
Last commit 2026-09-06
Active months 3
Commits 25