Feature Appraisal for Hotel Comparsion

Author: Cheng-Yang Chen (陳正揚)

Publish Year: 2008-07

Update by: March 26, 2025

摘要

In recent years, a considerable of number of studies have been conducted on the effects of comments on the web. People’s appraisal has high confidence to express their behaviors and aspects. Thus, the appraisals on the web are significant information for customer making their decision. For instance, people could select the best hotel according to the existing appraisals on the web. In this paper, we are concerned with the difference between reviews of products. An unsupervised learning approach can model this information perfectly. Furthermore, we simply combined the data mining with natural language processing techniques to extract features from a large of appraisals. For each feature, we generalized a corresponding appraisal by using probabilistic measure and we designed a web interface to let user compare online. We adopted the Hotel information that was collected form Yahoo as our dataset. Lastly, our comparative results were clearly represented in a visual way.