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)

Understanding algorithmic techniques and the mathematics behind the word2vec model

This section is very important, as we are going to discuss here the core algorithms that have been used in word2vec. By the end of this section, there won't be any secrets left in order for you to understand the concept of word2vec. Thus, this section is converting word2vec black box into word2vec white box. Here, I'm going to include the math part as well, so readers can understand the core concepts in a better manner. Don't worry if you don't know the math, because I will provide you with some resources that you may find really useful.

Understanding the basic mathematics for the word2vec algorithm

To begin with, we need...