This book is a perfect beginner's guide to natural language processing. It is offering an easy to understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than fifty years, but just recently with greater amounts of data present and better computational powers, it has gained a greater popularity.

Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this book will serve as your best companion on this journey introducing you to this challenging, yet extremely engaging world of automatic manipulation of our human language.

It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python.

Here Is a Preview of What You'll Learn Here…

The main challenges of natural language processing
The history of natural language processing
How natural langauge processing actually works
The main natural language processing applications
Text preprocessing and noise removal
Feature engineering and syntactic parsing
Part of speech tagging and named entity extraction
Topic modeling and word embedding
Text classification problems
Working with text data using NLTK
Text summarization and sentiment analysis
And much, much more...

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