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How Online Reviews in a Year Predict Online Sales in the Next on Expedia.com + Agoda.com + Hotels.com? A Panel Study of Hotels

机译：一年内的在线评论如何预测Expedia.com + Agoda.com + Hotels.com上的下一个在线销售？酒店专题研究

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This paper investigates how ratings, titles as well as descriptions of online reviews predict online sales. Using data from Expedia.com, Agoda.com and Hotels.com; a log-linear regression model was developed for a panel of 75 Asian hotels. The model explained 69.40% variance in the dependent variable for luxury hotels, 40.30% for budget hotels, and 38.80% for mid-scale hotels. In particular, title length was negatively related to sales for luxury and mid-scale hotels. The use of positive words in titles was positively related to sales for luxury hotels but had a negative association for budget hotels. Moreover, the use of positive (negative) words in descriptions was positively (negatively) related to sales for budget hotels.
机译：本文研究了评级，标题以及在线评论的描述如何预测在线销售。使用Expedia.com，Agoda.com和Hotels.com的数据;为一组75家亚洲酒店开发了对数线性回归模型。该模型解释了豪华酒店，69.40％的经济型酒店和38.80％的中型酒店的因变量方差69.40％。特别是，头衔长度与豪华和中档酒店的销售额负相关。标题中使用正词与豪华酒店的销售额正相关，而与经济型酒店的负相关。此外，描述中使用正（负）词与经济型酒店的销售正（负）相关。

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