From nlp-text-analyzer
Performs NLP analysis on text: sentiment, keywords, NER, topic modeling using nlp-text-analyzer plugin. Activates for 'analyze', 'review', 'examine' requests on text, code, data.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nlp-text-analyzer:analyzing-text-with-nlpThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Analyze text using NLP techniques including sentiment analysis, keyword extraction, named entity recognition, and topic modeling.
Analyze text using NLP techniques including sentiment analysis, keyword extraction, named entity recognition, and topic modeling.
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.
This skill activates when you need to:
User request: "Analyze the sentiment of this product review: 'I loved the product! It exceeded my expectations.'"
The skill will:
User request: "Extract the keywords from this news article about the latest AI advancements."
The skill will:
This skill can be integrated with other tools to provide a comprehensive workflow, such as using the extracted keywords to perform further research or using sentiment analysis to categorize customer feedback.
The skill produces structured output relevant to the task.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin nlp-text-analyzerAnalyzes text sentiment, classifying as positive, negative, or neutral with confidence scores for reviews, social media, and surveys.
Performs sentiment analysis, entity recognition, key phrase extraction, language detection, PII identification, and healthcare NLP on text using Azure AI Text Analytics Python SDK.