Scholarlink

In Chap. 3 , we covered the basic concepts and theories related to Part-of-Speech (POS) tagging and the various techniques used for POS tagging. This workshop builds on that foundation by exploring how to implement POS tagging using NLTK. The workshop begins with a brief recap of tokenization techniques, followed by two fundamental processes in word-level text processing: stemming and stop-word removal. We will introduce two types of stemming techniques—Porter Stemmer and Snowball Stemmer—and demonstrate how these can be integrated with WordCloud for data visualization. The main focus of this workshop is on the PENN Treebank Tagset, and by the end, you will have the skills to create your own custom POS tagger.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Workshop#3: Part-of-Speech Tagging Using Natural Language Toolkit (Hour 5–6)

  • 章节

  • 发表日期：

    2025年

查看全文
  • Raymond Lee

摘要

In Chap. 3 , we covered the basic concepts and theories related to Part-of-Speech (POS) tagging and the various techniques used for POS tagging. This workshop builds on that foundation by exploring how to implement POS tagging using NLTK. The workshop begins with a brief recap of tokenization techniques, followed by two fundamental processes in word-level text processing: stemming and stop-word removal. We will introduce two types of stemming techniques—Porter Stemmer and Snowball Stemmer—and demonstrate how these can be integrated with WordCloud for data visualization. The main focus of this workshop is on the PENN Treebank Tagset, and by the end, you will have the skills to create your own custom POS tagger.