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Twitter Data Streaming and apturing for Tourism Dashboard application

H.S. Albusaidi1 , P.K. Udupi2 , V. Dattana3

Section:Review Paper, Product Type: Isroset-Journal
Vol.5 , Issue.2 , pp.63-66, Apr-2017


Online published on Apr 30, 2017


Copyright © H.S. Albusaidi, P.K. Udupi, V. Dattana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: H.S. Albusaidi, P.K. Udupi, V. Dattana, “Twitter Data Streaming and apturing for Tourism Dashboard application,” International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.2, pp.63-66, 2017.

MLA Style Citation: H.S. Albusaidi, P.K. Udupi, V. Dattana "Twitter Data Streaming and apturing for Tourism Dashboard application." International Journal of Scientific Research in Computer Science and Engineering 5.2 (2017): 63-66.

APA Style Citation: H.S. Albusaidi, P.K. Udupi, V. Dattana, (2017). Twitter Data Streaming and apturing for Tourism Dashboard application. International Journal of Scientific Research in Computer Science and Engineering, 5(2), 63-66.

BibTex Style Citation:
@article{Albusaidi_2017,
author = {H.S. Albusaidi, P.K. Udupi, V. Dattana},
title = {Twitter Data Streaming and apturing for Tourism Dashboard application},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {4 2017},
volume = {5},
Issue = {2},
month = {4},
year = {2017},
issn = {2347-2693},
pages = {63-66},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=337},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=337
TI - Twitter Data Streaming and apturing for Tourism Dashboard application
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - H.S. Albusaidi, P.K. Udupi, V. Dattana
PY - 2017
DA - 2017/04/30
PB - IJCSE, Indore, INDIA
SP - 63-66
IS - 2
VL - 5
SN - 2347-2693
ER -

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Abstract :
Information and communication technology intervention, advancement in internet technology narrowed down the geographical barrier for information Interchange [1]. Tourism sector is one of the primary benefitted sector due to rapid changes of information technology. Introduction of smart tourism, online transactions, visually stunning virtual world creation of tourism places, availability of immediate information further accelerated the expansion of tourism sector and driven tourism sector from traditional environment to technology driven business environment. Social media usages, tourism dashboards, media streaming ensured to achieve greater success for tourism sectors [2]. This paper identifies and evaluates methods of information capturing and processing pertain to tourism sector. The paper also explores the possibility of social media data streaming, extraction and mining [3] with the future scope of research towards visualization of information through dashboards.

Key-Words / Index Term :
Twitter API, Twitter sentiments analysis, Data analytic, Dash Board, Smart Tourism, Big data, Oman Tourism, Oman economic, Twitter, Twitter API, Twitter hashtag

References :
[1] S. Dutta, T. Geiger, B. Lanvin, “The Global Information Technology Report 2015 ICTs for Inclusive Growth”, World Economic Forum, Vol. 1, No. 1, pp.80-85, 2015
[2] K. A. Manap, “The Role of User Generated Content (UGC) in Social Media for Tourism Sector”, WEI International Academic Conference Proceedings , Turkey, pp 52-58, 2013.
[3]A. Abbasi, T. H. Rashidi, M. Maghrebi, S. T. Waller , “Utilising Location Based Social Media in Travel Survey Methods:bringing Twitter data into the play”, Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, USA, pp.1-12, 2015
[4] R. Turner, “Travel and tourism Economic Impact 2015 – world”, World Travel & Tourism Council, United Kingdom, pp.1-24, 2015.
[5] S. Cerutti, E. Piva, “The Role of Tourists’ Feedback in the Enhancement of Religious Tourism Destinations”, International Journal of Religious Tourism and Pilgrimage, Vol.4, Issue.3, pp. 6-16, 2016.
[6] K.M. Otto, R L. Cheng, “ Big Data Stream Analytics for Near Real-Time Sentiment Analysis”, Journal of Computer and Communications, Vol.3, Issue.5, pp. 189-195, 2015.
[7] B. Liu, “Sentiment Analysis and Opinion Mining”,Synthesis Lectures on Human Language Technologies, Vol. 5, No. 1 , pp.1-167, 2012.
[8] H. Kwak, C. Lee, H.Park, S.Moon, What is Twitter, a Social Network or a News Media?, World Wide Web Conference, USA, 2010.
[9] A. Bifet, R. Cavalda, “Detecting Sentiment Change in Twitter Streaming Data”, Proceedings of the Second Workshop on Applications of Pattern Analysis, Spain, pp. 5-11,2011
[10] C. Ashley, P. D. Brine, A. Lehr, H. Wilde, “The Role of the tourism sector in expanding economic opportunity”, The Role of the tourism sector in expanding economic opportunity, USA, pp. 1-56, 2007.

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