How do I trigger the text analysis features?

You can trigger the skill by asking Claude to 'analyze text', 'perform sentiment analysis', 'extract keywords', or 'identify topics' in a given piece of content.

What types of text can this skill analyze?

It is designed to handle various textual formats, such as customer reviews, news articles, blog posts, and internal documentation.

Does it provide a confidence score for sentiment analysis?

Yes, the skill processes text to determine sentiment and typically returns a classification (e.g., positive/negative) along with a confidence score.

What is the NLP Text Analyzer skill?

It is a specialized Claude Code Skill that enables Claude to perform advanced natural language processing tasks, including sentiment analysis and keyword extraction.

Can I use this for bulk data processing?

While it processes text based on your requests, it can be integrated into broader workflows to help categorize and extract data from multiple text sources systematically.

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 extract sentiments, keywords, and core topics using advanced natural language processing techniques.

关于

The NLP Text Analyzer skill equips Claude with specialized capabilities to process and interpret complex text data efficiently. By leveraging the nlp-text-analyzer plugin, this skill allows users to automate sentiment detection, identify significant keywords, and categorize content through topic modeling. It is particularly valuable for developers and researchers who need to derive structured insights from unstructured text, such as customer feedback, news articles, or technical documentation, directly within their Claude-powered workflow.

主要功能

Theme-based topic modeling for content categorization
High-accuracy text processing via AI/ML techniques
Seamless integration with data analysis workflows
Automated sentiment analysis with confidence scoring
Intelligent keyword extraction from diverse document types
1 GitHub stars

使用场景

Categorizing customer support tickets based on sentiment and topics
Performing bulk sentiment analysis on product reviews for market research
Summarizing key themes and keywords from lengthy news articles

关于

主要功能

Theme-based topic modeling for content categorization
High-accuracy text processing via AI/ML techniques
Seamless integration with data analysis workflows
Automated sentiment analysis with confidence scoring
Intelligent keyword extraction from diverse document types
1 GitHub stars

使用场景

Categorizing customer support tickets based on sentiment and topics
Performing bulk sentiment analysis on product reviews for market research
Summarizing key themes and keywords from lengthy news articles