AgentSkillsCN

topic-modeler

使用 LDA（潜在狄利克雷分配）从文本集合中提取主题，同时提取关键词并可视化主题。

SKILL.md
--- frontmatter
name: topic-modeler
description: Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.

Topic Modeler

Extract topics from text collections using LDA.

Features

  • •LDA Topic Modeling: Latent Dirichlet Allocation
  • •Topic Keywords: Extract representative keywords per topic
  • •Document Classification: Assign documents to topics
  • •Visualization: Topic word clouds and distributions
  • •Coherence Scores: Evaluate topic quality

CLI Usage

bash
python topic_modeler.py --input documents.csv --column text --topics 5 --output topics.json

Dependencies

  • •gensim>=4.3.0
  • •nltk>=3.8.0
  • •pandas>=2.0.0
  • •matplotlib>=3.7.0
  • •wordcloud>=1.9.0