Analyzing Text Sentiment
This skill enables Claude to analyze the sentiment of text data. It identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. Use this skill when a user requests sentiment analysis, opinion mining, or emotion detection on any text, such as customer reviews, social media posts, or survey responses. Trigger words include "sentiment analysis", "analyze sentiment", "opinion mining", "emotion detection", and "polarity".
npx skills add majiayu000/claude-skill-registry --skill skill-adapter-intent-solutions-io-plugins-nixtla-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Overview This skill empowers Claude to perform sentiment analysis on text, providing insights into the emotional content and polarity of the provided data. By leveraging AI/ML techniques, it helps understand public opinion, customer feedback, and overall emotional tone in written communication. ## How It Works 1. **Text Input**: The skill receives text data as input from the user. 2. **Sentiment Analysis**: The skill processes the text using a pre-trained sentiment analysis model to determine the sentiment polarity (positive, negative, or neutral). 3. **Result Output**: The skill provides a sentiment score and classification, indicating the overall sentiment expressed in the text. ## When to Use This Skill This skill activates when you need to: - Determine the overall sentiment of customer reviews. - Analyze the emotional tone of social media posts. - Gauge public opinion on a particular topic. - Identify positive and negative feedback in survey responses. ## Examples ### Example 1: Analyzing Customer Reviews User request: "Analyze the sentiment of these customer reviews: 'The product is amazing!', 'The service was terrible.', 'It was okay.'" The skill will: 1. Process the provi
- Overview
- How It Works
- When to Use This Skill
- Examples
- Example 1: Analyzing Customer Reviews
- Example 2: Monitoring Social Media Sentiment
- Best Practices
- Integration
What does the Analyzing Text Sentiment skill do?
This skill enables Claude to analyze the sentiment of text data. It identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. Use this skill when a user requests sentiment analysis, opinion mining, or emotion detection on any text, such as customer reviews, social media posts, or survey responses. Trigger words include "sentiment analysis", "analyze sentiment", "opinion mining", "emotion detection", and "polarity".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill skill-adapter-intent-solutions-io-plugins-nixtla-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.