Towards a social media analytics platform: Event detection and user profiling for twitter - A tutorial at WWW 2014

Manish Gupta, Rui Li, Kevin Chen Chuan Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Microblog data differs significantly from the traditional text data with respect to a variety of dimensions. Microblog data contains short documents, SMS kind of language, and is full of code mixing. Though a lot of it is mere social babble, it also contains fresh news coming from human sensors at a humungous rate. Given such interesting characteristics, the world wide web community has witnessed a large number of research tasks for microblogging platforms recently. Event detection on Twitter is one of the most popular such tasks with a large number of applications. The proposed tutorial on social analytics for Twitter will contain three parts. In the first part, we will discuss research efforts towards detection of events from Twitter using both the tweet content as well as other external sources. We will also discuss various applications for which event detection mechanisms have been put to use. Merely detecting events is not enough. Applications require that the detector must be able to provide a good description of the event as well. In the second part, we will focus on describing events using the best phrase, event type, event timespan, and credibility. In the third part, we will discuss user profiling for Twitter with a special focus on user location prediction. We will conclude with a summary and thoughts on future directions.

Original languageEnglish (US)
Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages193-194
Number of pages2
ISBN (Electronic)9781450327459
DOIs
StatePublished - Apr 7 2014
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: Apr 7 2014Apr 11 2014

Publication series

NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Other

Other23rd International Conference on World Wide Web, WWW 2014
CountryKorea, Republic of
CitySeoul
Period4/7/144/11/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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    Gupta, M., Li, R., & Chang, K. C. C. (2014). Towards a social media analytics platform: Event detection and user profiling for twitter - A tutorial at WWW 2014. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 193-194). (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2567948.2577264