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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Focusing on content words with stoplists

Stoplists or stopwords are a list of words that should not be included in further analysis. Usually, this is because they're so common that they don't add much information to the analysis.

These lists are usually dominated by what are known as function words—words that have a grammatical purpose in the sentence, but which themselves do not carry any meaning. For example, the indicates that the noun that follows is singular, but it does not have a meaning by itself. Others prepositions, such as after, have a meaning, but they are so common that they tend to get in the way.

On the other hand, chair has a meaning beyond what it's doing in the sentence, and in fact, it's role in the sentence will vary (subject, direct object, and so on).

You don't always want to use stopwords since they throw away information. However, since function words are more frequent than content words, sometimes focusing on the content words can...

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