Book Image

Python Natural Language Processing

Book Image

Python Natural Language Processing

Overview of this book

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world.
Table of Contents (13 chapters)

Deep Learning for NLU and NLG Problems

We have seen the rule-based approach and various machine learning techniques to solve NLP tasks in the previous chapters. In this chapter, we will see the bleeding edge subset of machine learning technique called deep learning (DL). In the past four to five years, neural networks and deep learning techniques have been creating a lot of buzz in the artificial intelligence area because many tech giants use these cutting-edge techniques to solve real-life problems, and the results from these techniques are extremely impressive. Tech giants such as Google, Apple, Amazon, OpenAI, and so on spend a lot of time and effort to create innovative solutions for real-life problems. These efforts are mostly to develop artificial general intelligence and make the world a better place for human beings.

We will first understand the overall AI, in general...