In the previous chapters, we saw a glimpse of the entire natural language processing and text analytics landscape with essential terminology and concepts. Besides this, we were also introduced to the Python programming language, essential constructs, syntax, and learned how to work with strings to manage textual data. To perform complex operations on text with machine learning or deep learning algorithms, you need to process and parse textual data into more easy-to-interpret formats. All machine learning algorithms, be they supervised or unsupervised techniques, ...
© Dipanjan Sarkar 2019
Dipanjan SarkarText Analytics with Pythonhttps://doi.org/10.1007/978-1-4842-4354-1_33. Processing and Understanding Text
Dipanjan Sarkar1
(1)
Bangalore, Karnataka, India
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