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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Toc

Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Extracting the data

After you run the preceding script, the articles will be unzipped to the directory data/reuters-sgml. Each .sgm file in the extract contains around 1,000 short articles that have been wrapped in XML-style tags using Standard Generalized Markup Language (SGML). Rather than write our own parser for the format, we can make use of the one already written in the Lucene text indexer.

(:import [org.apache.lucene.benchmark.utils ExtractReuters])

(defn sgml->txt [in-path out-path]
  (let [in-file  (clojure.java.io/file in-path)
        out-file (clojure.java.io/file out-path)]
    (.extract (ExtractReuters. in-file out-file))))

Here we're making use of Clojure's Java interop to simply call the extract method on Lucene's ExtractReuters class. Each article is extracted as its own text file.

This code can be run by executing:

lein extract-reuters

on the command line within the project directory. The output will be a new directory, data/reuters-text, containing over...

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