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Machine Learning: End-to-End guide for Java developers

You're reading from   Machine Learning: End-to-End guide for Java developers Data Analysis, Machine Learning, and Neural Networks simplified

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Product type Course
Published in Oct 2017
Publisher Packt
ISBN-13 9781788622219
Length 1159 pages
Edition 1st Edition
Languages
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Authors (2):
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Krishna Choppella Krishna Choppella
Author Profile Icon Krishna Choppella
Krishna Choppella
Uday Kamath Uday Kamath
Author Profile Icon Uday Kamath
Uday Kamath
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Toc

Chapter 10. Text Mining with Mallet – Topic Modeling and Spam Detection

In this chapter, we will first discuss what text mining is, what kind of analysis is it able to offer, and why you might want to use it in your application. We will then discuss how to work with Mallet, a Java library for natural language processing, covering data import and text pre-processing. Afterwards, we will look into two text mining applications: topic modeling, where we will discuss how text mining can be used to identify topics found in the text documents without reading them individually; and spam detection, where we will discuss how to automatically classify text documents into categories.

This chapter will cover the following topics:

  • Introducing text mining
  • Installing and working with Mallet
  • Topic modeling
  • Spam detection

Introducing text mining

Text mining, or text analytics, refers to the process of automatically extracting high-quality information from text documents, most often written in natural...

You have been reading a chapter from
Machine Learning: End-to-End guide for Java developers
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781788622219
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