AgentSkillsCN

text_analysis

分析文本的情感倾向、实体、关键词与语言模式。

SKILL.md
--- frontmatter
name: text_analysis
description: Analyze text for sentiment, entities, keywords, and linguistic patterns
category: nlp
tags: [text, analysis, nlp, sentiment]
version: "1.0.0"

Text Analysis Skill

This skill provides natural language processing capabilities for text analysis.

When to Use

Use this skill when you need to:

  • •Analyze text sentiment (positive/negative/neutral)
  • •Extract named entities (people, places, organizations)
  • •Identify keywords and phrases
  • •Perform text classification
  • •Summarize long documents

Analysis Types

Sentiment Analysis

Determines the emotional tone of text:

  • •Positive: Expresses satisfaction, happiness, approval
  • •Negative: Expresses dissatisfaction, sadness, disapproval
  • •Neutral: Factual or informational content

Entity Extraction

Identifies and categorizes:

  • •People: Person names
  • •Places: Locations, addresses
  • •Organizations: Companies, institutions
  • •Dates: Temporal expressions
  • •Numbers: Quantities, measurements

Keyword Analysis

Extracts important terms and phrases:

  • •TF-IDF scoring
  • •Phrase frequency
  • •Collocation detection

Code Tools

@code: python analyze.py --input {input} - Perform various text analyses

Example Usage

code
Analyze the sentiment of this customer review: "The product exceeded my expectations!"
Result: Positive sentiment detected (confidence: 0.95)
code
Extract entities from: "Apple Inc. was founded by Steve Jobs in Cupertino, California."
Entities:
- Organization: Apple Inc.
- Person: Steve Jobs
- Location: Cupertino, California