Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Understanding tagging and POS


POS is concerned with identifying the types of components found in a sentence. For example, this sentence has several elements, including the verb "has", several nouns such as "example" and "elements", and adjectives such as "several". Tagging, or more specifically POS tagging, is the process of associating element types to words.

POS tagging is useful as it adds more information about the sentence. We can ascertain the relationship between words and often their relative importance. The results of tagging are often used in later processing steps.

This task can be difficult as we are unable to rely upon a simple dictionary of words to determine their type. For example, the word lead can be used as both a noun and as a verb. We might use it in either of the following two sentences:

He took the lead in the play.
Lead the way!

POS tagging will attempt to associate the proper label to each word of a sentence.

Using OpenNLP to identify POS

To illustrate this process,...