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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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TF-IDF weighting

TF-IDF combines the approaches of term frequency (TF) and inverse document frequency (IDF) to generate a weight for each term in a document, and it is done using the following formula:

In other words, it assigns a weight to term t in document d as follows:

If term t occurs many times in a few documents, it will be the highest
If term t occurs a small number of times in a document, it will be lower
If term t occurs in all documents, it will be the lowest
If term t occurs in no documents, it will be 0

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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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