Applied Natural Language Processing with Python Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /

• Main Author: Beysolow II, Taweh (Author, 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.; Big data.; Artificial Intelligence.; Python.; Open Source.; Big Data.

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...

Table of Contents:

• Chapter 1: What is Natural Language Processing?
• Chapter 2: Review of Machine Learning
• Chapter 3: Working with Raw Text
• Chapter 4: Word Embeddings and their application
• Chapter 5: Using Machine Learning with Natural Language Processing.