Understanding Text Mining and Sentiment Analysis in Hotel Booking
A management science professor had an unpleasant experience with a hotel she stayed at in New York City. Consequently, she wanted to figure out if hotel ratings were enough to recommend a hotel, or if customers’ text reviews could be used as more importan
Collection: Ivey Business School (Canada)
Ref: IVEY-9B19E019-E
Format: PDF
Number of pages: 5
Publication Date: Sep 6, 2019
Language: English
Review date: Jun 9, 2019
What material is included in this case:
Description
A management science professor had an unpleasant experience with a hotel she stayed at in New York City. Consequently, she wanted to figure out if hotel ratings were enough to recommend a hotel, or if customers’ text reviews could be used as more importan
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Year: 2016
Geographic Setting: Canada
Industry Setting: Accommodation & Food Services;
Learning Objective
This exercise is suitable for an undergraduate-level course on management science. Students should have previous knowledge of basic statistical distributions, Microsoft Excel formulas, and R (a programming language for statistical computing). The exercise
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"Understanding Text Mining and Sentiment Analysis in Hotel Booking"
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