galafis/multi-language-sentiment-engine
Advanced data science project: multi-language-sentiment-engine
What's novel
Advanced data science project: multi-language-sentiment-engine
Code Analysis
15 files read · 4 roundsA FastAPI REST API wrapping HuggingFace transformer models for multi-language sentiment analysis, with a Kafka streaming pipeline (where the sentiment inference is a keyword-matching stub) and a rolling-window aggregator, plus a model download script.
Strengths
The REST API layer is genuinely functional with Redis caching, Prometheus metrics, OAuth2 auth, and well-structured Pydantic models. The streaming pipeline architecture (preprocessing → analysis → aggregation) is well-designed with proper Kafka consumer/producer patterns and a working rolling-window aggregator.
Weaknesses
Four of seven src/ submodules (data, preprocessing, evaluation, visualization) are completely empty stubs with only docstrings. The streaming sentiment service uses a naive keyword-matching placeholder instead of real model inference, and language detection is a hardcoded 'en' return. The README claims 13+ language support, A/B testing, drift detection, and production-ready Kubernetes deployment, but none of these are implemented.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
42
Contributors
1
Files
50
Active weeks
6
Repository
Language
Python
Stars
1
Forks
0
License
MIT