research-article

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

Authors:

Jalal S. Alowibdi,

Mohamed F. MokbelAuthors Info & Claims

LBSN '14: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks

Pages 9 - 12

https://doi.org/10.1145/2755492.2755495

Published: 04 November 2014 Publication History

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 location-based 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.

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Cited By

Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
Kukka HPakanen MBadri MOjala TLee CPoltrock SBarkhuus LBorges MKellogg W(2017)Immersive Street-level Social Media in the 3D Virtual CityProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998341(2422-2435)Online publication date: 25-Feb-2017
https://dl.acm.org/doi/10.1145/2998181.2998341
Shin WSingh BCho JEverett A(2015)A new understanding of friendships in spaceJournal of Information Science10.1177/016555151560013641:6(751-764)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1177/0165551515600136
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cover image ACM Conferences

LBSN '14: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks

November 2014

53 pages

ISBN:9781450331401

DOI:10.1145/2755492

Conference Chairs:
Alexei Pozdnoukhov
University of California at Berkeley
,
Sen Xu
Twitter Inc.

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

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Published: 04 November 2014

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SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 4, 2014

Texas, Dallas/Fort Worth

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Cited By

Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
Kukka HPakanen MBadri MOjala TLee CPoltrock SBarkhuus LBorges MKellogg W(2017)Immersive Street-level Social Media in the 3D Virtual CityProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998341(2422-2435)Online publication date: 25-Feb-2017
https://dl.acm.org/doi/10.1145/2998181.2998341
Shin WSingh BCho JEverett A(2015)A new understanding of friendships in spaceJournal of Information Science10.1177/016555151560013641:6(751-764)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1177/0165551515600136
Shin WCho JEverett AAli MHuang YGertz MRenz MSankaranarayanan J(2015)Clarifying the role of distance in friendships on twitterProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820841(1-4)Online publication date: 3-Nov-2015
https://dl.acm.org/doi/10.1145/2820783.2820841
Piriyawarangkul KRodphotong KPhithakkitnukoon SMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)Tweet of the townAdjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2800835.2800982(1179-1187)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2800835.2800982
Bettaiah VAygun R(2015)Query-by-GamingJournal of Visual Languages and Computing10.1016/j.jvlc.2015.03.00329:C(63-76)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1016/j.jvlc.2015.03.003

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