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)

Rule-Based System for NLP

We learned to derive various features by using the concepts of linguistics and statistics in Chapter 5, Feature Engineering and NLP Algorithms and Chapter 6, Advanced Feature Engineering and NLP Algorithms. For developing an NLP application, these features are going to be fed into the algorithms. These algorithms take features as input. As you know, we are referring to algorithms as black boxes that perform some kind of magic and gives us the appropriate output. Refer to Figure 7.1, which demonstrates our journey so far:

Figure 7.1: Stages we have learned so far

Congratulations, you have learned a lot about NLP, and specifically about the NLU!

Now, it is high time for us to explore the algorithms which we use to develop NLP applications. We refer to these algorithms, techniques, or approaches as our black boxes and their logic is works as some magic...