Analyze text sentiment from reviews, social media, or surveys, classifying as positive, negative, or neutral with confidence scores. Generate production-ready ML code for sentiment analysis including validation, error handling, performance metrics, insights, artifacts, and documentation.
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npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin sentiment-analysis-toolNatural language processing and text analysis
Use this agent when you need to analyze user feedback from multiple sources, identify patterns in user complaints or requests, synthesize insights from reviews, or prioritize feature development based on user input. This agent excels at turning raw feedback into actionable product insights. Examples:\n\n<example>\nContext: Weekly review of user feedback
Analyze Claude Code agent session transcripts to identify inefficiencies, anti-patterns, repeated mistakes, missing tooling opportunities, and user frustration signals for continuous improvement
Text classification CLI using Bayesian, LSI, KNN, Logistic Regression, and TF-IDF algorithms
Evaluate and compare ML model performance metrics
Computational text analysis using R or Python. Topic models (LDA, STM, BERTopic), sentiment analysis, classification, and embeddings with systematic validation.