Using Sentiment Analysis to Explore the Degree of Risk in Sharing Economy
學年 106
學期 1
發表日期 2017-12-11
作品名稱 Using Sentiment Analysis to Explore the Degree of Risk in Sharing Economy
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 IEEE International Conference on Big Data
會議地點 Boston, USA
摘要 Sharing economy is the new business model of e-commerce that stimulates new thinking in different ways. However, security and privacy are the most criticized problems in sharing economy. The owners on sharing economy need to build trust through online reviews. It may take risks when most people make decisions by reading less reviews. This research considers the emotions of comments in online reviews and discover the positive-negative sentiment ratio based on sentiment analysis. The sentiment ratio will match to the level of risk and customers refer to it for suitable decision making. The results show that the selected rankings were different between the base of sentiment-ratio or the stars of accommodations. In addition, customers of different generations may have different decisions when showing pictures, room information, and the sentiment-ratio of online reviews. Generation Z and generation Y may pay more attention to reviews, cost, and cleanliness. Generation X may pay attention to cleanliness, reviews, and total stars. In conclusion, three generations all show the importance of online reviews on decision-making. On the other hand, the high risk people are more likely to be affected by the negative reviews; that is. they may make different decisions.
關鍵字 Sharing Economy;Sentiment Analysis;Online Risk
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 20171211~20171214
通訊作者
國別 USA
公開徵稿
出版型式
出處 IEEE
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112688 )