Deep Learning for Natural Language Processing Creating Neural Networks with Python /

• Main Authors: Goyal, Palash (Author, http://id.loc.gov/vocabulary/relators/aut), Pandey, Sumit (http://id.loc.gov/vocabulary/relators/aut), Jain, Karan (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You'll start by covering the mathematical prerequisites and...

Table of Contents:

• Chapter 1: Introduction to NLP and Deep Learning
• Chapter 2: Word Vector representations
• Chapter 3: Unfolding Recurrent Neural Networks
• Chapter 4: Developing a Chatbot
• Chapter 5: Research Paper Implementation: Sentiment Classification.