Natural language processing and text analysis
Installation
npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/nlp-text-analyzer
Contents
Folders: commands, skills
Files: LICENSE, README.md
Documentation
Natural language processing and text analysis
Installation
/plugin install nlp-text-analyzer@claude-code-plugins-plus
Usage
/analyze-text
Features
- Automated workflows
- Best practices implementation
- Performance optimization
- Error handling
Requirements
- Python 3.8+
- Standard ML libraries
License
MIT
Included Skills
This plugin includes 1 skill definition:
analyzing-text-with-nlp
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View skill definition
Nlp Text Analyzer
This skill provides automated assistance for nlp text analyzer tasks.
Overview
This skill empowers Claude to analyze text using the nlp-text-analyzer plugin, extracting meaningful information and insights. It facilitates tasks such as sentiment analysis, keyword extraction, and topic modeling, enabling a deeper understanding of textual data.
How It Works
- Request Analysis: Claude receives a user request to analyze text.
- Text Processing: The nlp-text-analyzer plugin processes the text using NLP techniques.
- Insight Extraction: The plugin extracts insights such as sentiment, keywords, and topics.
When to Use This Skill
This skill activates when you need to:
- Perform sentiment analysis on a piece of text.
- Extract keywords from a document.
- Identify the main topics discussed in a text.
Examples
Example 1: Sentiment Analysis
User request: “Analyze the sentiment of this product review: ‘I loved the product! It exceeded my expectations.’”
The skill will:
- Process the review text using the nlp-text-analyzer plugin.
- Determine the sentiment as positive and provide a confidence score.
Example 2: Keyword Extraction
User request: “Extract the keywords from this news article about the latest AI advancements.”
The skill will:
- Process the article text using the nlp-text-analyzer plugin.
- Identify and return a list of relevant keywords, such as “AI”, “advancements”, “machine learning”, and “neural networks”