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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Ignoring punctuation and specific characters


Usually in natural language processing, some uninformative words or characters, called stop words, can be filtered out for easier handling. When computing word frequencies or extracting sentiment data from a corpus, punctuation or special characters might need to be ignored. This recipe demonstrates how to remove these specific characters from the body of a text.

How to do it...

There are no imports necessary. Create a new file, which we will call Main.hs, and perform the following steps:

  1. Implement main and define a string called quote. The back slashes (\) represent multiline strings:

    main :: IO ()
    main = do
      let quote = "Deep Blue plays very good chess-so what?\ 
        \Does that tell you something about how we play chess?\
        \No. Does it tell you about how Kasparov envisions,\ 
        \understands a chessboard? (Douglas Hofstadter)"
      putStrLn $ (removePunctuation.replaceSpecialSymbols) quote
  2. Replace all punctuation marks with an empty string, and...

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