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Discovering popular events from tweets

This video was recorded at Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD), Ljubljana 2013. Social events happening in a city can influence and affect a large number of the citizens, directly or indirectly involved. Having a metric to measure the popularity of such events can help in estimating the resources needed for handling them, improving facilities such as public transportation or traffic estimations. This paper reports on the problem of association of Tweet messages to social events in order to discover the popularity of an event. We propose and evaluate a method that computes an association coefficient for an event-tweet pair and discuss the results obtained.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science / Intelligent Systems

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Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Author:: Alexandra Moraru, Artificial Intelligence Laboratory, Jožef Stefan Institute
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States