Chapter 3. Part of Speech Tagging
In previous chapters, we talked about all the preprocessing steps we need, in order to work with any text corpus. You should now be comfortable about parsing any kind of text and should be able to clean it. You should be able to perform all text preprocessing, such as Tokenization, Stemming, and Stop Word removal on any text. You can perform and customize all the preprocessing tools to fit your needs. So far, we have mainly discussed generic preprocessing to be done with text documents. Now let's move on to more intense NLP preprocessing steps.
In this chapter, we will discuss what part of speech tagging is, and what the significance of POS is in the context of NLP applications. We will also learn how to use NLTK ...
Get Natural Language Processing: Python and NLTK now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
