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data-analysis-nlp

Analyze text data with NLP — preprocessing, embeddings, topic modeling, sentiment, classification, and evaluation. Use when turning unstructured text into structured insight.

skills/data-analysis-nlp/SKILL.md

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# NLP Data Analysis

Text is data with opinions, ambiguity, and mess. NLP analysis turns it into something countable: 
clean it, represent it, model it, and evaluate honestly — with error analysis, not just accuracy 
numbers.

## Overview

The pipeline: define the question, collect and sample the text, clean it (with a light touch — 
over-cleaning destroys signal), represent it (from TF-IDF to embeddings to LLM features), model it 
(classify, cluster, extract), and evaluate on held-out data with error analysis. The question 
drives every choice: sentiment needs different handling than topic discovery, which needs different 
handling than entity extraction.