Abstract
This paper explores the overall effect of the use of online services by travelers and their feelings resulting from a series of feedback. Customer reviews are obtained from various sources and the satisfactions of travelers using different online travel related service providers is analyzed. A new term is coined and referred to as "Netno-Mining," which integrates two words Text mining and Netnography. Different results obtained by processing netnographic data and text based mining techniques are used to interpret satisfaction, perception of tourist/ travellers using online services. This paper covers perception derived by analysis of review rating values and sentiment-based levels.
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Mane, D., Srivastava, P., Jain, A., & Chouhan, D. S. (2021). Assessing travellers perception levels towards select online travel agents (TA) in India using netnography and text mining. Indian Journal of Computer Science and Engineering, 12(1), 254–270. https://doi.org/10.21817/indjcse/2021/v12i1/211201183
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