Do I need to install external ML libraries to use this?

No, the skill leverages the nlp-text-analyzer plugin to process data directly within your Claude Code environment.

Is this skill compatible with Nixtla's ecosystem?

Yes, it is part of the Nixtla plugin suite for Claude Code, focusing on high-performance data-centric AI tasks.

Can I use this skill for bulk text processing?

Yes, it is designed to efficiently extract insights from documents, articles, and feedback sets through terminal-based commands.

How does it help with sentiment analysis?

It processes input text to determine if the sentiment is positive, negative, or neutral and provides a confidence score for the result.

NLP Text Analyzer

Name: NLP Text Analyzer
Author: intent-solutions-io

byintent-solutions-io

データサイエンスとML

Performs advanced natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling to derive insights from textual data.

概要

The NLP Text Analyzer skill empowers Claude Code with sophisticated natural language processing capabilities, allowing users to automate the extraction of meaning from unstructured text. By leveraging AI/ML techniques, it facilitates deep-dive analysis such as sentiment scoring for customer feedback, entity and keyword identification for document summarization, and topic modeling for large dataset categorization. This skill is essential for developers and data scientists looking to integrate text-based intelligence into their terminal workflows without needing to build custom ML pipelines from scratch.

主な機能

Precise keyword and entity extraction from documents
Natural language interface for complex text processing
Seamless integration with Nixtla-based AI/ML workflows
Automated sentiment analysis with confidence scoring
Unsupervised topic modeling for content categorization
0 GitHub stars

ユースケース

Analyzing product reviews or customer support tickets to track sentiment trends
Clustering large volumes of unstructured text into logical topic groups for data analysis
Generating metadata and tags for news articles or technical documentation

概要

主な機能

Precise keyword and entity extraction from documents
Natural language interface for complex text processing
Seamless integration with Nixtla-based AI/ML workflows
Automated sentiment analysis with confidence scoring
Unsupervised topic modeling for content categorization
0 GitHub stars

ユースケース

Analyzing product reviews or customer support tickets to track sentiment trends
Clustering large volumes of unstructured text into logical topic groups for data analysis
Generating metadata and tags for news articles or technical documentation