This is the last chapter of the book and focuses on the techniques to tackle text data using PySpark. Today text-form data is being generated at a lightning pace with multiple social media platforms offering users the options to share their reviews, suggestions, comments, etc. The area that focuses on making machines learn and understand textual data to perform some useful tasks is known as Natural Language Processing. Text data could be structured or unstructured, and we must apply multiple steps to ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
P. SinghMachine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-7777-5_99. Natural Language Processing
Pramod Singh1
(1)
Bangalore, Karnataka, India
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