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survey-nlp-analyzer

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Turn open-text into structured insights.

Data & Analytics#nlp#text-mining#clustering#topic-modeling#sentiment-analysis#feedback-analysis#open-text
Authorjac007x
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Analyzing large bodies of open-ended text is time-consuming and non-deterministic. This Skill standardizes an end-to-end NLP pipeline to extract topics, sentiment, quotes, and actionable insights from any text source.

Core Features & Use Cases

  • Topic modeling (NMF) and dictionary-driven assignments to reveal themes across surveys, feedback, and transcripts.
  • Sentiment overlay and quote curation to surface representative lines with context.
  • Dimensional breakdowns by user-defined context dimensions to enable cross-group comparisons and executive summaries.
  • Reproducible, parameterized intake and configurable outputs (HTML reports, dashboards, and CSV bundles).

Quick Start

Provide a corpus file and run the analyzer to generate topics, sentiment, quotes, and a shareable HTML report.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: survey-nlp-analyzer
Download link: https://github.com/jac007x/CheatCodes-Skill-Library/archive/main.zip#survey-nlp-analyzer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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