explainable-airline-sentiment MelihOrel · COMPLETED
✈️ An NLP-driven sentiment analysis pipeline that classifies airline customer feedback while leveraging Explainable AI (XAI). It doesn't just predict sentiment—it reveals exactly why a model made its decision, turning black-box text classification into transparent, actionable insights for Customer Experience (CX) teams. 💬📊
github.com/MelihOrel/explainable-airline-sentiment · ★ 1 · Forks 0 · Size 311 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 16 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
5 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 70
4 files · PRODUCTION
pandas LIBRARY Depth 66
3 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-13
Last commit 2026-04-13
Active months 1
Commits 3