Enjoy fast, free delivery, exclusive deals, and award-winning movies & TV shows.
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

QR code to download the Kindle app

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing Paperback – Sept. 12 2018

by Taweh Beysolow II (Author)
{"desktop_buybox_group_1":[{"displayPrice":"$43.55","priceAmount":43.55,"currencySymbol":"$","integerValue":"43","decimalSeparator":".","fractionalValue":"55","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"2GDR6H3MGKhP3vt%2FaMc84lU90pa8DNcFUt0N%2Bud6iHf%2FqNYdMa91HLGsXCtVx6pJLnKONf%2FJ0TJX4NKHqVYnXnErtgJYJAxcZ%2BnFhr7koOaAEssruRgxIof6e1hwWZsB1ug7Hp4%2FyOU%3D","locale":"en-CA","buyingOptionType":"NEW","aapiBuyingOptionIndex":0}]}

Purchase options and add-ons

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. 
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.

What You Will Learn   Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
Manipulate and preprocess raw text data in formats such as .txt and .pdf
Strengthen your skills in data science by learning both the theory and the application of various algorithms  
Who This Book Is For 
You should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content.
Read more
Previous slide of product details
  1. ISBN-10
    9781484237328
  2. ISBN-13
    978-1484237328
  3. Publication date
    Sept. 12 2018
  4. Language
    English
  5. Dimensions
    15.5 x 0.97 x 23.5 cm
  6. Print length
    150 pages
Next slide of product details

Product description

From the Back Cover

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. 


Applied Natural Language Processing with Pythonstarts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.


You will:


Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
Manipulate and preprocess raw text data in formats such as .txt and .pdf
Strengthen your skills in data science by learning both the theory and the application of various algorithms  

About the Author

Taweh Beysolow II is a Machine Learning Scientist and Author currently based in the United States. He has a Bachelor of Science degree in Economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. His professional experience has included applying machine learning and natural language processing techniques to financial, text (structured and unstructured), and social media data. 

Product details

  • ASIN ‏ : ‎ 1484237323
  • Publisher ‏ : ‎ Apress Publishers
  • Publication date ‏ : ‎ Sept. 12 2018
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 150 pages
  • ISBN-10 ‏ : ‎ 9781484237328
  • ISBN-13 ‏ : ‎ 978-1484237328
  • Item weight ‏ : ‎ 227 g
  • Dimensions ‏ : ‎ 15.5 x 0.97 x 23.5 cm
  • Customer Reviews:

Customer reviews

3.7 out of 5 stars
4 global ratings

No customer reviews

There are 0 customer reviews and 4 customer ratings.