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Multi-Label Naïve Bayes Classifier for Identification of Top Destination and Issues to Accost by Tourism Sector

Multi-Label Naïve Bayes Classifier for Identification of Top Destination and Issues to Accost by Tourism Sector

Sapna Sinha, Vishal Bhatnagar, Abhay Bansal
Copyright: © 2018 |Volume: 26 |Issue: 3 |Pages: 17
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781522542186|DOI: 10.4018/JGIM.2018070104
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MLA

Sinha, Sapna, et al. "Multi-Label Naïve Bayes Classifier for Identification of Top Destination and Issues to Accost by Tourism Sector." JGIM vol.26, no.3 2018: pp.37-53. http://doi.org/10.4018/JGIM.2018070104

APA

Sinha, S., Bhatnagar, V., & Bansal, A. (2018). Multi-Label Naïve Bayes Classifier for Identification of Top Destination and Issues to Accost by Tourism Sector. Journal of Global Information Management (JGIM), 26(3), 37-53. http://doi.org/10.4018/JGIM.2018070104

Chicago

Sinha, Sapna, Vishal Bhatnagar, and Abhay Bansal. "Multi-Label Naïve Bayes Classifier for Identification of Top Destination and Issues to Accost by Tourism Sector," Journal of Global Information Management (JGIM) 26, no.3: 37-53. http://doi.org/10.4018/JGIM.2018070104

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Abstract

This article describes how the tourism sector plays very important role in the social and economic growth of any country. Technologies like the internet and mobile technologies have changed the marketing strategy of the sector. It has been observed that business operators and the workforce employed in the tourism industry do not have sufficient knowledge, tools and/or strategy to implement technology correctly. Technology can be used in all the dimensions of tourism for gaining a competitive edge and providing a wide range of services to customers. For better customer satisfaction, the industry should know the major issues confronting tourism. Experiences shared by tourists on social media, i.e. Facebook, Twitter, Instagram and YouTube, can be used and analyzed to gain insight on customer needs. In this article, the authors propose a unified framework and have used tweets shared by tourists for the identification of major issues faced by tourism sectors. Identified issues are categorized into four main categories. The obtained results will help players of tourism sector for improving the services and growth of the sector.

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