In the previous chapter, we took a journey into the world of natural language processing and explored several interesting concepts and domains associated with it. We now have a better understanding of the entire scope surrounding natural language processing, linguistics, and text analytics. If you refresh your memory, we also got our first taste of running Python code to look at essentials with regard to processing and understanding text. We also looked at ways to access and use text corpora resources with the help of the NLTK framework. In this chapter, ...
© Dipanjan Sarkar 2019
Dipanjan SarkarText Analytics with Pythonhttps://doi.org/10.1007/978-1-4842-4354-1_22. Python for Natural Language Processing
Dipanjan Sarkar1
(1)
Bangalore, Karnataka, India
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