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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

Creating, inverting, and using dictionaries

Dictionaries hold key-value pairs where the key is the index. An inverted dictionary is one where the values become the keys and the keys becomes the values. Dictionaries are frequently used to support many NLP tasks. For example, in the previous recipe, Summarizing text in a document, the LinkedHashMap class was used internally to maintain the word frequency with respect to the number of occurrences for text.

In this recipe, we will explore how dictionaries and inverted dictionaries are handled in Java. We will use the Java core SDK and the Guava (Google core libraries for Java and API for our libraries). The Guava website is found at https://github.com/google/guava.

Problems can arise when the values are not unique. We will use the Java 8 Streams to address these issues.
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