How accurate is the sentiment detection?

Accuracy depends on the clarity of the text; while it uses advanced models, the results are most accurate when text is free from high levels of irony or sarcasm.

Does it provide a numerical score?

Yes, the skill provides both a sentiment score and a classification of positive, negative, or neutral for each input.

Can I use it for social media monitoring?

Absolutely, it is specifically designed to help you gauge public opinion by analyzing the emotional tone of social media content.

What types of text can this skill analyze?

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

Can this skill be integrated into developer workflows?

Yes, it can be combined with other Claude Code plugins to automate tasks like flagging negative feedback for support teams or summarizing feedback trends.

Sentiment Analysis Tool

Name: Sentiment Analysis Tool
Author: BbgnsurfTech

byBbgnsurfTech

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データサイエンスとML

Analyzes and classifies the emotional tone of text data to provide insights into customer feedback, social media sentiment, and public opinion.

概要

This skill empowers Claude to perform advanced sentiment analysis on various text formats, including customer reviews, social media posts, and survey responses. By identifying whether a piece of content is positive, negative, or neutral, it allows developers and analysts to automate opinion mining and emotion detection workflows. It is particularly useful for businesses looking to gauge public sentiment or for developers building feedback-driven applications that require automated categorization of user input based on emotional polarity.

主な機能

Support for processing bulk text data like surveys and reviews
Integration-ready for automated feedback escalation workflows
Generation of sentiment scores for quantitative data analysis
Real-time monitoring of social media sentiment and brand mentions
3 GitHub stars
Accurate classification of text as positive, negative, or neutral

ユースケース

Monitoring social media mentions to detect shifts in public brand perception
Analyzing employee or customer survey responses for automated reporting
Categorizing thousands of customer reviews to identify common satisfaction levels

概要

主な機能

Support for processing bulk text data like surveys and reviews
Integration-ready for automated feedback escalation workflows
Generation of sentiment scores for quantitative data analysis
Real-time monitoring of social media sentiment and brand mentions
3 GitHub stars
Accurate classification of text as positive, negative, or neutral

ユースケース

Monitoring social media mentions to detect shifts in public brand perception
Analyzing employee or customer survey responses for automated reporting
Categorizing thousands of customer reviews to identify common satisfaction levels