Can it handle sarcastic or ironic text?

While the skill identifies emotional tone, results may vary with complex sarcasm; it is recommended to consider context when interpreting sentiment scores.

What kind of output does the skill provide?

The skill returns a sentiment classification (positive, negative, or neutral) along with a sentiment score indicating the degree of polarity detected.

How does this skill determine sentiment?

It uses pre-trained AI models to process input text and assign a polarity score of positive, negative, or neutral based on the language used.

Is this skill useful for social media monitoring?

Yes, it is specifically designed to analyze tweets, posts, and comments to help developers and marketers gauge public opinion and emotional trends.

Text Sentiment Analysis

Name: Text Sentiment Analysis
Author: intent-solutions-io

byintent-solutions-io

データサイエンスとML

Analyzes the emotional tone and polarity of text data to provide insights into customer feedback and public opinion.

概要

This skill empowers Claude to evaluate the sentiment of written content, classifying text as positive, negative, or neutral. By leveraging advanced natural language processing, it assists developers and analysts in processing customer reviews, social media interactions, and survey responses to gauge emotional tone and provide actionable polarity scores. It is particularly useful for automating opinion mining and monitoring brand health through automated text evaluation within your coding environment.

主な機能

0 GitHub stars
Provides detailed sentiment polarity scores
Classifies text as positive, negative, or neutral
Supports opinion mining for survey response analysis
Analyzes customer reviews and feedback at scale
Detects emotional tone in social media posts

ユースケース

Monitoring brand sentiment across social media platforms
Categorizing customer support tickets based on emotional urgency
Evaluating product reviews to identify common satisfaction or pain points

概要

主な機能

0 GitHub stars
Provides detailed sentiment polarity scores
Classifies text as positive, negative, or neutral
Supports opinion mining for survey response analysis
Analyzes customer reviews and feedback at scale
Detects emotional tone in social media posts

ユースケース

Monitoring brand sentiment across social media platforms
Categorizing customer support tickets based on emotional urgency
Evaluating product reviews to identify common satisfaction or pain points