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Natural Language Processing with Java

You're reading from Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

Product type Paperback

Published in Jul 2018

Publisher

ISBN-13 9781788993494

Length 318 pages

Edition 2nd Edition

Languages

Java

Tools

Processing

Concepts

Machine Learning

Authors (2):

Ashish Bhatia

Richard M. Reese

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Table of Contents (14) Chapters

Preface

1. Introduction to NLP FREE CHAPTER

2. Finding Parts of Text

3. Finding Sentences

4. Finding People and Things

5. Detecting Part of Speech

6. Representing Text with Features

7. Information Retrieval

8. Classifying Texts and Documents

9. Topic Modeling

10. Using Parsers to Extract Relationships

11. Combined Pipeline

12. Creating a Chatbot

13. Other Books You May Enjoy

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The basics of LDA

LDA is the most popular method among the different methods of topic modeling. It is a form of text data mining and machine learning, where backtracking is performed to figure out the topic for the document. It also involves the use of probability, as it is a generative probabilistic model.

LDA represents the documents as a mixture of topics that will give a topic based on probability.

Any given document has a greater or lesser chance of having a certain word as its underlying topic; for example, given a document about sports, the probability of the word "cricket" occurring is higher than the probability of the word "Android One Phone". If the document is about mobile technology, then the probability of the word "Android One Phone" will be higher than the word "cricket". Using a sampling method, some words are selected from a document as a topic using Dirichlet distribution in a semi random manner. These randomly selected topics may not be the best suited as the potential...

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Authors (1)

Richard M. Reese

Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java

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