Does it provide numerical scores or just labels?

The skill provides both a categorical classification (positive, negative, or neutral) and a numerical sentiment polarity score for more granular analysis.

Is this part of the Nixtla plugin suite?

Yes, this skill is part of the Nixtla plugin repository, aimed at enhancing Claude Code's capabilities in data science, forecasting, and analytical tasks.

How accurate is the sentiment detection with sarcasm?

While the underlying ML models are advanced, sarcasm and irony can be complex; users are encouraged to review context for nuanced interpretations of the sentiment scores.

Can I use this for bulk analysis of datasets?

Yes, this skill is designed to be integrated into automated workflows, allowing Claude to process multiple text entries or datasets efficiently within the terminal.

What types of text can this skill analyze?

It can process customer reviews, social media posts, survey responses, and any other text where emotional tone needs to be identified and quantified.

Text Sentiment Analysis

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

byintent-solutions-io

データサイエンスとML

Classifies the emotional tone of text data to identify positive, negative, and neutral sentiments in customer feedback and social media.

概要

This skill provides Claude with specialized capabilities to perform opinion mining and emotion detection on various text inputs. It enables users to quantify public sentiment, analyze customer reviews, and monitor social media trends by providing polarity scores and emotional classifications. By integrating this into Claude Code, developers and analysts can automate the processing of large volumes of text to extract actionable insights and better understand the emotional context of user-generated content without manual tagging.

主な機能

Generates numerical sentiment polarity scores for precise analysis
Classifies text into positive, negative, or neutral categories
Supports diverse text sources including reviews and social media posts
Enables automated opinion mining and emotional tone detection
Facilitates integration with data pipelines for bulk text processing
0 GitHub stars

ユースケース

Analyzing customer product reviews to track satisfaction trends
Monitoring brand sentiment across social media platforms like X/Twitter
Evaluating emotional responses and feedback themes in survey results

概要

主な機能

Generates numerical sentiment polarity scores for precise analysis
Classifies text into positive, negative, or neutral categories
Supports diverse text sources including reviews and social media posts
Enables automated opinion mining and emotional tone detection
Facilitates integration with data pipelines for bulk text processing
0 GitHub stars

ユースケース

Analyzing customer product reviews to track satisfaction trends
Monitoring brand sentiment across social media platforms like X/Twitter
Evaluating emotional responses and feedback themes in survey results