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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
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Richard M. Reese
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Understanding sentiment analysis


With sentiment analysis, we are concerned with who holds what type of feeling about a specific product or topic. This can tell us, for example, that citizens of a particular city hold positive or negative feelings about the performance of a sports team. They may hold a different sentiment about the team's performance than they do about its management.

Sentiment analysis can be useful in automatically determining the sentiment regarding certain aspects, or attributes, of a product and then displaying the results in some meaningful manner.

This is illustrated using a review of the 2014 Camry from the Kelly Blue Book (http://www.kbb.com/toyota/camry/2014-toyota-camry/?r=471659652516861060), as shown in the following screenshot:

If you scroll down you can find the expert review about the model shown as following:

The attributes, such as the overall rating and value, are depicted both as a bar graph and as a numeric value. The calculation of these values can be performed...

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