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Natural Language Processing with Java Cookbook

You're reading from   Natural Language Processing with Java Cookbook Over 70 recipes to create linguistic and language translation applications using Java libraries

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789801156
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
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Table of Contents (14) Chapters Close

Preface 1. Preparing Text for Analysis and Tokenization FREE CHAPTER 2. Isolating Sentences within a Document 3. Performing Name Entity Recognition 4. Detecting POS Using Neural Networks 5. Performing Text Classification 6. Finding Relationships within Text 7. Language Identification and Translation 8. Identifying Semantic Similarities within Text 9. Common Text Processing and Generation Tasks 10. Extracting Data for Use in NLP Analysis 11. Creating a Chatbot 12. Installation and Configuration 13. Other Books You May Enjoy

Finding the distance between text

There are several ways to measure the distance between two strings. In this recipe, we will demonstrate how to use the Apache Commons Text library to compute the Hamming and Levenshtein distances.

Distance is concerned with the number of operations needed to convert one string into another string. These operations can be either single-character deletion, insertion, or substitution.

The Hamming distance algorithm works on strings of equal length, which may limit its utility in some situations. It simply measures the number of positions in the two strings that differ. It is case-sensitive.

The HammingDistance class possesses a single default constructor and an apply method, which takes two strings as its arguments. The method returns the distance between the strings.

A more detailed Hamming distance explanation can be found at http://en.wikipedia...

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