How do I use this skill to analyze sentiment?

Simply provide a text sample to Claude and ask it to 'analyze the sentiment'. The skill will determine if the tone is positive, negative, or neutral and provide a confidence score.

What is the NLP Text Analyzer skill for Claude Code?

It is a specialized skill that allows Claude to use the nlp-text-analyzer plugin to perform deep text processing, including identifying sentiment, keywords, and main topics.

What kind of keywords can this skill extract?

The skill identifies significant nouns, phrases, and entities that represent the core subject matter of the provided document or text snippet.

Is this skill useful for data science tasks?

Yes, it is ideal for initial data exploration, text categorization, and extracting structured insights from unstructured datasets.

NLP Text Analyzer

Name: NLP Text Analyzer
Author: BbgnsurfTech

byBbgnsurfTech

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数据科学与机器学习

Analyzes textual data to perform sentiment analysis, keyword extraction, and topic modeling using advanced natural language processing.

关于

This skill empowers Claude to perform sophisticated text analysis by integrating the nlp-text-analyzer plugin. It is designed for users who need to transform unstructured text into actionable insights, offering automated sentiment detection, thematic topic modeling, and precise keyword extraction. Whether you are processing customer feedback, auditing documentation, or summarizing large datasets, this skill provides the linguistic intelligence necessary to understand and categorize content efficiently within your Claude Code environment.

主要功能

Intelligent topic modeling for thematic categorization
Precise keyword and keyphrase extraction
Deep linguistic insight generation for unstructured content
3 GitHub stars
Automated sentiment analysis with confidence scoring
High-speed processing of raw textual data

使用场景

Analyzing customer reviews to determine sentiment and recurring pain points
Categorizing large volumes of text data for data science and research projects
Extracting core keywords and topics from technical documentation or news articles

关于

主要功能

Intelligent topic modeling for thematic categorization
Precise keyword and keyphrase extraction
Deep linguistic insight generation for unstructured content
3 GitHub stars
Automated sentiment analysis with confidence scoring
High-speed processing of raw textual data

使用场景

Analyzing customer reviews to determine sentiment and recurring pain points
Categorizing large volumes of text data for data science and research projects
Extracting core keywords and topics from technical documentation or news articles