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

•

Data Science & ML

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

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.

Key Features

01Support for processing bulk text data like surveys and reviews

02Integration-ready for automated feedback escalation workflows

03Generation of sentiment scores for quantitative data analysis

04Real-time monitoring of social media sentiment and brand mentions

053 GitHub stars

06Accurate classification of text as positive, negative, or neutral

Use Cases

01Monitoring social media mentions to detect shifts in public brand perception

02Analyzing employee or customer survey responses for automated reporting

03Categorizing thousands of customer reviews to identify common satisfaction levels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection sentiment-analysis-tool

For use in Claude.ai and ChatGPT

Download Skill