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Can we predict eat-out preference of a person from tweets?

  • Md Mahabur Rahman
  • , Md Taksir Hasan Majumder
  • , Md Saddam Hossain Mukta
  • , Mohammed Eunus Ali
  • , Jalal Mahmud

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Twitter, a microblogging site, has become a major platform of communication of users on the web. Recently, location based social networking sites such as Foursquare have become popular which enable users to publish their visited places through check-ins. In this paper, we present a study of users' eat-out preferences who share their Foursquare restaurant check-ins through Twitter. Our study reveals a strong correlation of a user's eat-out preference and the linguistic features of her tweets, i.e., word use. Hence, our proposed model enables one to predict a user's eat-out preference from her word-use in Twitter.

Original languageEnglish
Title of host publicationWebSci 2016 - Proceedings of the 2016 ACM Web Science Conference
PublisherAssociation for Computing Machinery (ACM)
Pages350-351
Number of pages2
ISBN (Electronic)9781450342087
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventAnnual ACM Web Science Conference (WebSci) 2016 - Hannover, Germany
Duration: 22 May 201625 May 2016
Conference number: 8th
http://websci16.org/?utm_source=researchbib
https://dl.acm.org/doi/10.1145/2908131.2908199 (Proceedings)

Conference

ConferenceAnnual ACM Web Science Conference (WebSci) 2016
Abbreviated titleWebSci 2016
Country/TerritoryGermany
CityHannover
Period22/05/1625/05/16
Internet address

Keywords

  • Check-ins
  • Eat-out preferences
  • Foursquare
  • Twitter

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