What types of text can this skill analyze?

The skill can process various text inputs including customer reviews, social media posts, survey responses, and general documentation to determine emotional tone.

Does it provide numerical sentiment scores?

Yes, the skill provides both a categorical classification (positive, negative, or neutral) and a sentiment score to indicate the intensity of the sentiment.

How do I trigger sentiment analysis in Claude Code?

You can trigger the skill by using natural language phrases like 'analyze sentiment', 'opinion mining', 'emotion detection', or 'check polarity' followed by the text you want to analyze.

Can this skill be used for social media monitoring?

Absolutely. It is specifically designed to handle the informal language of social media to help you gauge public opinion on specific topics or brand mentions.

How accurate is the sentiment detection?

While highly accurate for standard text, it is recommended to review results for context-heavy language like sarcasm or irony which can affect automated scoring.

Sentiment Analysis Tool

Name: Sentiment Analysis Tool
Author: intent-solutions-io

byintent-solutions-io

データサイエンスとML

Analyzes the emotional tone and polarity of text data to provide actionable insights from feedback, social media, and reviews.

概要

This skill enables Claude to perform sophisticated sentiment analysis and opinion mining directly within your development environment. By classifying text as positive, negative, or neutral and providing polarity scores, it allows developers to automate the processing of customer reviews, social media mentions, and survey responses. Whether you are building automated feedback loops or monitoring public opinion on a new feature, this skill leverages AI/ML patterns to extract emotional context from raw text data efficiently.

主な機能

Quantitative sentiment scoring for precise analysis
Automated opinion mining for customer feedback
Text polarity classification (positive, negative, neutral)
0 GitHub stars
Bulk text processing for reviews and surveys
Emotion detection for social media monitoring

ユースケース

Monitoring brand sentiment across social media streams
Analyzing open-ended survey responses for qualitative insights
Automating the categorization of product and service reviews

概要

主な機能

Quantitative sentiment scoring for precise analysis
Automated opinion mining for customer feedback
Text polarity classification (positive, negative, neutral)
0 GitHub stars
Bulk text processing for reviews and surveys
Emotion detection for social media monitoring

ユースケース

Monitoring brand sentiment across social media streams
Analyzing open-ended survey responses for qualitative insights
Automating the categorization of product and service reviews