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Java Data Science Cookbook

You're reading from Java Data Science Cookbook

Product type Book

Published in Mar 2017

Publisher Packt

ISBN-13 9781787122536

Pages 372 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Rushdi Shams

Table of Contents (16) Chapters

Java Data Science Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Obtaining and Cleaning Data

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

Classifying text documents using Weka

We used Weka in Chapter 4, Learn from Data - Part 1 to classify data points that are not in text format. Weka is a very useful tool to classify text documents using machine-learning models as well. In this recipe, we will demonstrate how you can use to develop document classification model using Weka 3.

Getting ready

To download Weka, go to http://www.cs.waikato.ac.nz/ml/weka/downloading.html and you will find download options for Windows, Mac, and other operating systems such as Linux. Read through the options carefully and download the appropriate version. During the writing of this book, 3.9.0 was the latest version for the developers, and as the author already had version 1.8 JVM installed in his 64-bit Windows machine, he has chosen to download a self-extracting executable for 64-bit Windows without a Java VM.
After the download is complete, double-click on the executable file and follow the on-screen instructions. You need to install the full version...

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Authors (1)

Rushdi Shams

Rushdi Shams has a Ph.D. on Application of machine learning in Natural Language Processing (NLP) problem areas from Western University, Canada. Before starting work as a machine learning and NLP specialist in the industry, he was engaged in teaching undergrad and grad courses. He has been successfully maintaining his YouTube channel named "Learn with Rushdi" for learning computer technologies.

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