galafis/python-nlp-sentiment-analysis

Data Science project - python-nlp-sentiment-analysis

What's novel

Data Science project - python-nlp-sentiment-analysis

Code Analysis

5 files read · 3 rounds

Implements a sentiment analysis pipeline using custom lexicon-based scoring and Naive Bayes classification, but lacks the advertised deep learning models and a unified orchestration class.

Strengths

The core algorithms (Lexicon Analyzer, Naive Bayes) are well-implemented with correct mathematical logic for smoothing and log-probabilities. The test suite is comprehensive, covering edge cases like empty inputs and negation handling effectively.

Weaknesses

The project architecture is incomplete; `main.py` imports a `SentimentAnalyzer` class that does not exist in the source files, rendering the entry point broken. The README claims deep learning support (BERT/RoBERTa) which is not implemented in the provided code.

Score Breakdown

Innovation

3 (25%)

Craft

67 (35%)

Traction

9 (15%)

Scope

54 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+0

Craft

Ci-2

Tests+8

Polish+0

Releases+0

Has License+5

Code Quality+22

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+0

Scope

Commits+5

Languages+5

Subsystems+10

Bloat Penalty+0

Completeness+7

Contributors+5

Authored Files+8

Readme Code Match+3

Architecture Depth+5

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

MIT