淡江大學機構典藏:Item 987654321/106456
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/106456


    Title: Discovering the Voice from Travelers: A Sentiment Analysis for Online Reviews
    Authors: Chang, Wei-Lun
    Keywords: sentiment analysis;prospect theory;online review comments
    Date: 2015-12-12
    Issue Date: 2016-04-27 11:13:42 (UTC+8)
    Abstract: We proposed a model on the basis of a sentiment analysis in terms of posi- tive and negative words and the concept of credibility inferred from prospect theory. This study used TripAdvisor to examine the proposed model and selected 10 out of 271 hotels in Las Vegas between January and February 2015, which is the peak sea- son for traveling to Las Vegas. Through the sentiment analysis, we determined that the overall ranking of the 10 hotels decreased. However, the ranking of Skylofts at MGM Grand decreased by only 1 level. The rankings of the 9 other hotels decreased by 2 or more levels after the credibility factor was considered. Moreover, the credibility factor affected the overall ranking. Apparently, the credibility factor has a higher influence on hotel ranking than the sentiment analysis does. These results revealed that negative emotions and low-credibility reviews have a high influence on hotel ranking.
    Relation: Pre-ICIS Workshop of the Fourteenth Workshop on e-Business (WeB 2015)
    Appears in Collections:[Graduate Institute & Department of Business Administration] Proceeding

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