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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis 2. Cleaning and Validating Data FREE CHAPTER 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

Finding sentences

Words (tokens) aren't the only structures that we're interested in, however. Another interesting and useful grammatical structure is the sentence. In this recipe, we'll use a process similar to the one we used in the previous recipe, Tokenizing text, in order to create a function that will pull sentences from a string in the same way that tokenize pulled tokens from a string in the last recipe.

Getting ready

We'll need to include clojure-opennlp in our project.clj file:

(defproject com.ericrochester/text-data "0.1.0-SNAPSHOT"
  :dependencies [[org.clojure/clojure "1.6.0"]
                 [clojure-opennlp "0.3.2"]])

We will also need to require it into the current namespace:

(require '[opennlp.nlp :as nlp])

Finally, we'll download a model for a statistical sentence splitter. I downloaded en-sent.bin from http://opennlp.sourceforge.net/models-1.5/. I then saved it into models/en-sent.bin.

How to do it…

As in the...

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