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Practical Data Analysis

You're reading from  Practical Data Analysis

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Hector Cuesta Hector Cuesta
Profile icon Hector Cuesta
Toc

Table of Contents (24) Chapters close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

Using OAuth to access Twitter API


In order to have access to the Twitter API, we will use a token-based authentication system. Twitter applications are required to use OAuth, which is an open standard for authorization. OAuth allow the Twitter users to enter their username and password in order to obtain four strings (token). The token allows the users to connect with the Twitter API without using their username and password. In this chapter, we will use the current version of Twitter REST API 1.1, released on June 11, 2013, which established the use of OAuth authentication as mandatory, for retrieving data from Twitter.

Tip

For more information about token-based authentication systems, please refer to http://bit.ly/bgbmnK.

First, we need to visit https://dev.twitter.com/apps and sign in with our Twitter username and password as is shown in the following screenshot:

Then, we click on the Create a new application button (see the following screenshot) and enter the application details:

  • Name: PracticalDataAnalysisBook...

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