Discovering the Voice from Travelers: A Sentiment Analysis for Online Reviews
學年 104
學期 1
發表日期 2015-12-12
作品名稱 Discovering the Voice from Travelers: A Sentiment Analysis for Online Reviews
作品名稱（其他語言）
著者 Wei-Lun Chang
作品所屬單位
出版者
會議名稱 Pre-ICIS Workshop of the Fourteenth Workshop on e-Business (WeB 2015)
會議地點 Fort Worth, Texas, USA
摘要 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.
關鍵字 sentiment analysis;prospect theory;online review comments
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20151212~20151212
通訊作者
國別 USA
公開徵稿
出版型式
出處 Pre-ICIS Workshop of the Fourteenth Workshop on e-Business (WeB 2015)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106456 )