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Advancements in the electronic commerce industry have helped online travel services (OTA) in many ways. The paper examines the overall impact of traveller's using online services and their sentiments derived from a collection of reviews for online travel service providers known as online travel agents (OTA) in India. Customer reviews from different identified sources are collected and the satisfaction of travellers using various online travel services is analyzed using netnographic analysis and text mining. This paper also covers a detailed process of data collection, analysis using netnography and text mining methods which helps us for the analysis and deriving sentiments from collected reviews. Various results obtained are presented as part of token lists, keyword analysis, and servicespecific analysis. The statistical analysis of different results is tested to understand the relationship between various services and OTA.

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.