Text Mining to Understand Major Keywords Explaining Sentiments of Travelers Using Travel Related Online Services in India

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Abstract

This paper aims to explain and elaborate integration of two words netnography and mining. Netnography has been accepted and used as universal tool for performing online ethnography in various fields. This paper also focuses on the relevance of text mining in consumer research and how it is used to analyze consumer opinions on online travel related services using text mining tool named RapidMiner. The results obtained offers clear understanding of key terms and tokens which help us identify various words explaining satisfaction of travelers through the use of text based mining along with travel ratings collected via reviews and referral site, and social media platforms in India.

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Mane, D., & Srivastava, P. (2020). Text Mining to Understand Major Keywords Explaining Sentiments of Travelers Using Travel Related Online Services in India. In Learning and Analytics in Intelligent Systems (Vol. 16, pp. 287–295). Springer Nature. https://doi.org/10.1007/978-3-030-46943-6_32

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