Natural Language Processing with Python

Summary

This audiobook 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 50 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 audiobook 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.... PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Frank Millstein (P)2018 Frank Millstein