Data Science
Sentiment Analysis
Text polarity with reproducible benchmarks.
Feature extraction, model comparison, and error analysis sections are scaffolded so your report reads complete. Includes preprocessing rationale ideal for NLP courses.
Highlights
- Baseline vs improved model story
- Confusion matrix interpretation
- Production caveats section
Suggested stack
- Python
- scikit-learn / spaCy
- Pandas
- Jupyter
Deliverables
- Synopsis
- Notebook pipeline
- Labeled sample corpus guide
- Metric comparison chart templates
- Report aligned to NLP methodology