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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Detecting tokens (words) using Java


One of the most common tasks that a data scientist needs to do using text data is to detect tokens from it. This task is called tokenization . Although "token" can mean a word, symbol, phrase or any other meaningful text unit, in this chapter, we will consider words as tokens since a word is a reasonable text unit to deal with. However, the notion of word tokens varies from person to person; some need words only, some prefer symbols to be omitted during detection, while some want to keep punctuation in the words for getting more context. Based on the variety of needs, in this recipe, we will be using three different techniques that, when applied to the same string, yield three different results. The techniques will involve string tokenization, break iterator, and regular expressions. It is you who needs to decide which technique to use.

Remember that we have selectively chosen only three methods though there are many other options out there; they are for...

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