• Title Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
• Author(s) Rajesh Arumugam, Rajalingappaa Shanmugamani
• Publisher: Packt Publishing (July 18, 2018); eBook (Free Edition)
• Permission: Free eBook by the Publisher (Packt)
• Paperback 312 pages
• eBook HTML
• Language: English
• ISBN-10/ASIN: 178913949X
• ISBN-13: 978-1789139495
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Book Description

Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas.

This book teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today's NLP challenges.

To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications.

By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts.

• Weave neural networks into linguistic applications across various platforms
• Perform NLP tasks and train its models using NLTK and TensorFlow
• Boost your NLP models with strong deep learning architectures such as CNNs and RNNs

• Rajesh Arumugam is an ML developer at SAP, Singapore.
• Rajalingappaa Shanmugamani is a deep learning lead at SAP, Singapore.

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• Computational Linguistics and Natural Language Processing
• Python Programming
• Deep Learning and Neural Networks
• Machine Learning

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