How to predict explicit recommendations in online reviews using text mining and sentiment analysis

Volume: 43, Pages: 269 - 272
Published: Jun 1, 2020
Abstract
null null Opinions shared by peer travelers help tourists decrease the risks of making a poor decision. However, the increasing number of reviews per experience makes it difficult to read all reviews for an informed decision. Therefore, reviewers who make a personal and explicit recommendation of the services by using expressions such as “I highly recommend” or “don't recommend” may help consumers in their decision-making process. Such reviews...
Paper Details
Title
How to predict explicit recommendations in online reviews using text mining and sentiment analysis
Published Date
Jun 1, 2020
Volume
43
Pages
269 - 272
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