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.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin nlp-text-analyzerThis skill is limited to using the following tools:
Analyze text using NLP techniques including sentiment analysis, keyword extraction, named entity recognition, and topic modeling.
Builds NLP applications using transformers, BERT, GPT for text classification, NER, sentiment analysis, summarization, QA, and more in Python.
Analyzes text sentiment, classifying as positive, negative, or neutral with confidence scores for reviews, social media, and surveys.
Extracts structured information from text using named entity recognition, relation extraction, coreference resolution, knowledge graph construction, and information extraction pipelines.
Share bugs, ideas, or general feedback.
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.