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Mastering Clojure Data Analysis

You're reading from  Mastering Clojure Data Analysis

Product type Book
Published in May 2014
Publisher
ISBN-13 9781783284139
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Eric Richard Rochester Eric Richard Rochester
Profile icon Eric Richard Rochester

Table of Contents (17) Chapters

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon 2. GIS Analysis – Mapping Climate Change 3. Topic Modeling – Changing Concerns in the State of the Union Addresses 4. Classifying UFO Sightings 5. Benford's Law – Detecting Natural Progressions of Numbers 6. Sentiment Analysis – Categorizing Hotel Reviews 7. Null Hypothesis Tests – Analyzing Crime Data 8. A/B Testing – Statistical Experiments for the Web 9. Analyzing Social Data Participation 10. Modeling Stock Data Index

Chapter 6. Sentiment Analysis – Categorizing Hotel Reviews

People talk about a lot of things online. There are forums and communities for almost everything under the sun, and some of them may be about your product or service. People may complain, or they may praise, and you would want to know which of the two they're doing.

This is where sentiment analysis helps. It can automatically track whether the reviews and discussions are positive or negative overall, and it can pull out items from either category to make them easier to respond to or draw attention to.

Over the course of this chapter, we'll cover a lot of ground. Some of it will be a little hazy, but in general, here's what we'll cover:

  • Exploring and preparing the data

  • Understanding the classifiers

  • Running the experiment

  • Examining the error rates

Before we go any further, let's learn what sentiment analysis is.

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