Netno-Mining: Integrating Text Mining with Netnographic Analysis to Assess the Perception of Travelers using Select OTA Services in India
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2020 by IJETT Journal | ||
| Volume-68 Issue-9 |
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| Year of Publication : 2020 | ||
| Authors : Dashrath Mane, Dr. Prateek Srivastava, Dr. Amit Jain, Dr. D.S.Chouhan |
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| DOI : 10.14445/22315381/IJETT-V68I9P217 |
Citation
MLA Style: Dashrath Mane, Dr. Prateek Srivastava, Dr. Amit Jain, Dr. D.S.Chouhan "Netno-Mining: Integrating Text Mining with Netnographic Analysis to Assess the Perception of Travelers using Select OTA Services in India" International Journal of Engineering Trends and Technology 68.9(2020):121-129.
APA Style:Dashrath Mane, Dr. Prateek Srivastava, Dr. Amit Jain, Dr. D.S.Chouhan. Netno-Mining: Integrating Text Mining with Netnographic Analysis to Assess the Perception of Travelers using Select OTA Services in India International Journal of Engineering Trends and Technology, 68(9),121-129.
Abstract
In this paper, a new term is coined and referred to as "Netno-Mining," which integrates two words Text mining and Netnography. In this paper, different results obtained by processing netnographic data and text mining techniques are used to interpret satisfaction, perceptions of travelers using online services of select travel companies in india. This paper also talks more about the Integration of netnographic analysis and text mining as an innovative method to assess the consumer sentiments of select online travel services in india. The novel approach helps to derive sentiments, perceptions, and its interpretation in the context of consumer and travel company too. A detailed architecture of the Netno-mining approach has been used to explain various steps in assessing the perceptions of travelers. In this approach, various website components such as website time to load, Service and support, Information depth, the content of the website, User-friendliness are used as parameters to compare the satisfaction of Travellers of select OTA such as MMT, Goibibo, cleartrip, redbus, and yatra.
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Keywords
Sentiments, perceptions, OTA, text Mining, Netnography, travelers.