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)

Summary

This chapter explored the basics of linguistics, which are often used to develop NLP applications. We have seen all kinds of analysis related to NL. We have seen word level analysis and larger context analysis. We have seen difference between some of the key concepts to resolve any confusion. After this chapter, you can identify which concepts of linguistics or tool is more interesting for you to use. Researchers can find the potential research area if they want to pursue research either in linguistics, computer linguistics or computer science with major in NLP.

In the next chapter, we will focus on practical and coding aspects and begin our journey to develop NLP applications. The next chapter is all about preprocessing the data, one of the basic but important steps in developing NLP applications. Preprocessing includes some of the concepts which we have described here...