Tourism, travel and tweets: algorithmic text analysis methodologies in tourism Online publication date: Sat, 05-Jul-2014
by William Claster; Phillip Pardo; Malcolm Cooper; Kayhan Tajeddini
Middle East J. of Management (MEJM), Vol. 1, No. 1, 2013
Abstract: Tourism and hospitality organisations depend on market knowledge to compete in innovation, product development, and customer relationship management. This paper shows that new forms of social media provide valuable and previously difficult to obtain real-time knowledge on tourist perceptions, concerns, and sentiment towards tourist destinations - both those already visited and those under consideration for a future visit. We show how analysis of comments from such social media as Twitter micro-blogs can be used to reveal potential and recent tourists motivations in the travel and hospitality industry in various locations.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the Middle East J. of Management (MEJM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com