Home

Books

Computers & Technology

Computer Programming

Database Design & Programming

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

178.00

Inclusive of VAT

Free Delivery

Get it by 28 June - 1 July

Order in 4 h 35 m

Delivery by noon

High Rated Seller

Cash on Delivery

Secure Transaction

Explore other bestsellers in
Database Design & Programming

BANK OFFERS

Earn 5% cashback with the Mashreq noon Credit Card.

SELLER

Item as shown

Partner since

Free delivery on Lockers & Pickup Points

This item is eligible for free returns

Product Overview

Specifications

Publisher	Packt Publishing
ISBN 13	9781788838535
ISBN 10	178883853X
Author	Bhargav Srinivasa-Desikan

Language	English
Book Description	Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.Key Features: Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and KerasHands-on text analysis with Python, featuring natural language processing and computational linguistics algorithmsLearn deep learning techniques for text analysisBook Description: Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data.This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy.You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.What You Will Learn: Why text analysis is important in our modern ageUnderstand NLP terminology and get to know the Python tools and datasetsLearn how to pre-process and clean textual dataConvert textual data into vector space representationsUsing spaCy to process textTrain your own NLP models for computational linguisticsUse statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learnEmploy deep learning techniques for text analysis using KerasWho this book is for: This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!
Publication Date	29 June 2018
Number of Pages	306 pages

Cart Total  178.00