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CWordTM: Towards a Topic Modeling Toolkit from Low-Code to Pro-Code

  • Wing-Fat Johnny Cheng

摘要

Topic modeling is a widely used technique in Natural Language Processing (NLP) for extracting and uncovering latent thematic patterns in a collection of documents. However, working with topic modeling algorithms requires technical skills that may hinder the novices. This demo paper presents CWordTM (CWordTM stands for Chinese Word Topic Modeling, where “Word” refers to the Word, i.e., the Holy Bible / Scripture.), an open-source Python toolkit designed to simplify the topic modeling process and some other NLP tasks. Although the toolkit offers the Holy Bible as a sample corpus, it works on other possible text data.