What types of text can this skill analyze?

It can analyze any text data, including customer reviews, social media posts, survey responses, and emails.

How does it classify sentiment?

The skill categorizes text into positive, negative, or neutral sentiments and provides a numerical polarity score to indicate intensity.

Can it detect sarcasm or irony?

While the underlying AI model is sophisticated, sarcasm can be challenging; it is recommended to consider context when interpreting scores for highly nuanced text.

Is this skill useful for developers?

Yes, it is ideal for developers building automated feedback loops, brand monitoring tools, or applications that need to process large volumes of qualitative data.

Text Sentiment Analyzer

Name: Text Sentiment Analyzer
Author: jeremylongshore

byjeremylongshore

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884

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Ciencia de Datos y ML

Analyzes the emotional tone of text data to classify content as positive, negative, or neutral for enhanced data insights.

This skill empowers Claude to perform advanced sentiment analysis and opinion mining on various text inputs such as customer reviews, social media posts, and survey responses. By identifying emotional polarity and providing sentiment scores, it helps developers and analysts gauge public opinion, automate feedback processing, and understand the underlying tone of written communication with high precision. It is an essential tool for any workflow requiring qualitative data quantification and emotional intelligence in text processing.

Características Principales

01Automated sentiment polarity classification (Positive, Negative, Neutral)

02Support for diverse data sources including reviews and social media

03Integration-ready for automated feedback workflows and reporting

04Granular sentiment scoring for precise emotional detection

05Opinion mining for extracting qualitative insights from unstructured text

06884 GitHub stars

Casos de Uso

01Processing survey responses to quickly identify negative feedback for escalation

02Analyzing customer satisfaction levels from product review datasets

03Monitoring social media mentions to gauge public brand perception

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills sentiment-analysis-tool

For use in Claude.ai and ChatGPT

Download Skill

Características Principales

01Automated sentiment polarity classification (Positive, Negative, Neutral)

02Support for diverse data sources including reviews and social media

03Integration-ready for automated feedback workflows and reporting

04Granular sentiment scoring for precise emotional detection

05Opinion mining for extracting qualitative insights from unstructured text

06884 GitHub stars

Casos de Uso

01Processing survey responses to quickly identify negative feedback for escalation

02Analyzing customer satisfaction levels from product review datasets

03Monitoring social media mentions to gauge public brand perception

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills sentiment-analysis-tool

For use in Claude.ai and ChatGPT

Download Skill