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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

Streaming Twitter for real-time sentiment analysis

Twitter is flooded with content that arrives every second. A great way to start investigating real-time data is by examining tweets.

This recipe will show how to write code that reacts to tweets relating to a specific search query. We use an external web-endpoint to determine whether the sentiment is positive, neutral, or negative.

Getting ready

Install the twitter-conduit package:

$ cabal install twitter-conduit

For parsing JSON, let's use yocto:

$ cabal install yocto

How to do it…

Follow these steps to set up the Twitter credentials and begin coding:

  1. Create a new Twitter app by navigating to https://apps.twitter.com.
  2. Find the OAuth Consumer Key and OAuth Consumer Secret from this Twitter Application Management page. Set the environmental variables on our system for OAUTH_CONSUMER_KEY and OAUTH_CONSUMER_SECRET respectively. Most Unix-based systems with sh-compatible shells support the export command:
    $ export OAUTH_CONSUMER_KEY=&quot...
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