What types of text can this skill analyze?

This skill can analyze any text-based data, including customer reviews, social media posts, survey responses, emails, and documentation.

Can I use this for monitoring social media?

Yes, it is specifically designed to handle short-form text like tweets and social media comments to gauge public opinion on specific topics.

How does it classify the sentiment of a text?

The skill categorizes text as positive, negative, or neutral and provides a numerical sentiment score to indicate the intensity of the expressed emotion.

How do I trigger the sentiment analysis skill?

You can trigger the skill using phrases like 'analyze sentiment', 'review tone', or 'examine feedback' followed by the text or file you want to process.

Text Sentiment Analysis

Name: Text Sentiment Analysis
Author: jeremylongshore

byjeremylongshore

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897

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데이터 과학 및 ML

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for data-driven insights.

This skill empowers Claude to perform automated sentiment analysis on text data, providing clear insights into the emotional content and polarity of customer feedback, social media posts, and survey responses. By leveraging AI/ML techniques, it helps developers and analysts understand public opinion and emotional tone in written communication, offering structured sentiment scores and classifications that can be integrated into larger data processing workflows.

주요 기능

01Detailed sentiment scoring for granular emotional analysis

02Context-aware processing to help interpret complex emotional tones

03Trigger-based activation using natural language commands like 'analyze' or 'review'

04Supports diverse data formats including reviews, tweets, and surveys

05897 GitHub stars

06Automated polarity classification into positive, negative, or neutral categories

사용 사례

01Evaluating customer satisfaction by analyzing product reviews in bulk

02Monitoring brand reputation through social media sentiment tracking

03Identifying key areas of improvement in user feedback and survey responses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills analyzing-text-sentiment

For use in Claude.ai and ChatGPT

Download Skill

주요 기능

01Detailed sentiment scoring for granular emotional analysis

02Context-aware processing to help interpret complex emotional tones

03Trigger-based activation using natural language commands like 'analyze' or 'review'

04Supports diverse data formats including reviews, tweets, and surveys

05897 GitHub stars

06Automated polarity classification into positive, negative, or neutral categories

사용 사례

01Evaluating customer satisfaction by analyzing product reviews in bulk

02Monitoring brand reputation through social media sentiment tracking

03Identifying key areas of improvement in user feedback and survey responses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills analyzing-text-sentiment

For use in Claude.ai and ChatGPT

Download Skill