VacationFinder: A tool for collecting, analyzing, and visualizing geotagged Twitter data to find top vacation spots

Jalal S. Alowibdi, Sohaib Ghani, Mohamed F. Mokbel

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

8 Scopus citations

Abstract

Choosing a location for vacations and weekends usually confuses many people. This concern has attracted considerable attention in recent years as currently there is no application based on actual visitors that helps people in finding out the top places for vacations. Online social networks such as Twitter are becoming very popular in last few years and can help in this regard. People nowadays generally do check-ins at new places. Also, analysis of tweets tagged with geolocation and time can provide trends of top vacation spots. In this paper, we present VacationFinder; a novel locationbased application that uses geotagged tweets to help people in where they should spend their holidays and weekends. We use real Twitter data crawled since October 2013. We apply indexing, spatio-temporal querying, and machine learning techniques to check, analyze, and filter the user activities in a particular country before and after a specific holiday. We then visualize the results and give our recommendations of top vacation spots for a particular holiday. The paper includes use cases on top vacation spots for Saudis in spring break of 2014 both inside as well as outside Saudi Arabia. Our application can not only help people but can also give direction to governmental agencies about promoting tourism in the country. It can also help law enforcement agencies, advertisement industry, and various businesses such as restaurants and shopping stores about where to focus during a particular holiday.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014 - Held in conjunction with the 22nd ACM SIGSPATIAL GIS 2014
EditorsAlexei Pozdnoukhov
PublisherAssociation for Computing Machinery, Inc
Pages9-12
Number of pages4
ISBN (Electronic)9781450331401
DOIs
StatePublished - Nov 4 2014
Event7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014 - Dallas, United States
Duration: Nov 4 2014 → …

Publication series

NameProceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014 - Held in conjunction with the 22nd ACM SIGSPATIAL GIS 2014

Other

Other7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014
CountryUnited States
CityDallas
Period11/4/14 → …

Fingerprint Dive into the research topics of 'VacationFinder: A tool for collecting, analyzing, and visualizing geotagged Twitter data to find top vacation spots'. Together they form a unique fingerprint.

  • Cite this

    Alowibdi, J. S., Ghani, S., & Mokbel, M. F. (2014). VacationFinder: A tool for collecting, analyzing, and visualizing geotagged Twitter data to find top vacation spots. In A. Pozdnoukhov (Ed.), Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014 - Held in conjunction with the 22nd ACM SIGSPATIAL GIS 2014 (pp. 9-12). (Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2014 - Held in conjunction with the 22nd ACM SIGSPATIAL GIS 2014). Association for Computing Machinery, Inc. https://doi.org/10.1145/2755492.2755495