Python Data Analytics: With Pandas, NumPy, and Matplotlib

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

F. NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-9532-8_13

13. Textual Data Analysis with NLTK

Fabio Nelli¹  

(1)

Rome, Italy

 

In this book, you have seen various analysis techniques and numerous examples that worked on data in numerical or tabular form, which is easily processed through mathematical expressions and statistical techniques. But most of the data is composed of text, which responds to grammatical rules (or sometimes not even that :)) that differ from language to language. In text, the words and the meanings attributable to the words (as well as the emotions they transmit) can be a very useful source of information.

In this chapter, ...