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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
Languages
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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 sentences using Java


In this recipe, we will see how we can detect sentences so that we can use them for further analysis. Sentences are a very important text unit for data scientists to experiment different routing exercises, such as classification. To detect sentences from texts, we will be using Java's BreakIterator class.

Getting ready

Go to https://docs.oracle.com/javase/7/docs/api/java/text/BreakIterator.html and see the examples. This will give you an idea on the usage of a break iterator.

How to do it...

As a test for this recipe's code, we will use two sentences that can create confusion to many regular-expression-based solutions. The two sentences for test are: My name is Rushdi Shams. You can use Dr. before my name as I have a PhD. but I am a bit shy to use it. Interestingly, we will see that Java's BreakIterator class handles them with great efficiency.

Create a method that takes the test string as argument.

public void useSentenceIterator(String source){ 
  1. Create a sentenceiterator...

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