A Near-Real Time Application for Twitter Data Analysis
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The document describes a near real-time application for Twitter data analysis. It discusses the motivation for developing such an application given new communication paradigms on social media. It then outlines the architecture of the application, which uses Twitter's Streaming and Search APIs to provide a global stream of Twitter data and allow queries. Finally, it evaluates the usability and understandability of the application's user interface.
A Near-Real Time Application for Twitter Data Analysis
- 1. Motivation Architecture Evaluation Demo A Near Real- Time Application for Twitter Data Analysis A Near Real-Time Application for Twitter Data Analysis 19.03.2015 Zinayida Petrushyna, M.Sc., RWTH Aachen University Alexandra Chueva, M.Sc., RWTH Aachen University, e-dynamics GmbH PD Dr. Ralf Klamma, RWTH Aachen University Joachim Lanfermann, M.Sc., e-dynamics GmbH
- 2. Motivation Architecture Evaluation Demo A Near Real- Time Application for Twitter Data Analysis Motivation New communications paradigm: speak at people Discussions shaping in Social Media Lack of tools for real-time event detection, monitoring and analysis Twitter is an online microblogging service - Tweets are short (140 symbols) and public by default - Event detection by hashtags - Streaming API Real-time streaming data analysis is complex _________ with
- 3. Motivation Architecture Evaluation Demo A Near Real- Time Application for Twitter Data Analysis The Architecture of the Application __________ Twitter Streaming API provide global stream of Twitter data Twitter Search API allows queries to Twitter data
- 4. Motivation Architecture Evaluation Demo A Near Real- Time Application for Twitter Data Analysis _________ User Evaluation General appeal of the user interface Usability of the user interface Understandability of graphical representation An extent of system’s success Have you get any ideas why the event is popular?
- 5. Motivation Architecture Evaluation Demo A Near Real- Time Application for Twitter Data Analysis DEMO _____