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Trans. Planning Journal
| Title | SENTIMENT ANALYSIS BASED ON A THEORY OF THREE-WAY DECISIONS FROM SOCIAL MEDIA MINING: A CASE STUDY ON UBER’S OPERATION TOPICS IN TAIWAN |
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| Author | Chi-Chung Tao、Ruei-Jhih Jian |
| Summary | Mobile commerce business combining sharing economy and social media are now in the ascendant, especially UBER launches into taxi markets worldwide which becomes the most attractive case study in research literatures. Nowadays, issues of legal operations concerning service calling, flexible fares, rating system between drivers and users and tax are still in dispute for UBER in Taiwan. It will be very helpful for Taiwan’s authorities and taxi operators if users can understand and accept similar services like UBER by using social media mining and sentiment analysis. Crawler systems were used to collect all possible text data from social media. Opinion mining and sentiment analysis were sequentially performed in this study. A model based on the theory of three-way decisions was used for sentiment analysis which included three sentiment zones: positive, negative and neutral. Results of the empirical study showed that the three topics about UBER operations concerning operation mechanism, regulation and protest and taxation problems were discussed extensively in Taiwan. The hottest topic was mobile platform services offered by UBER which won positive and neutral orientation tendency more than negative one significantly. The whole negative orientation tendency focused on dispute of UBER’s illegal operations in Taiwan. It is evident that the first priority for UBER is to apply legal permission and pay tax arrears as soon as possible if UBER attempts to continue operations in Taiwan. |
| Vol. | 45 |
| No. | 4 |
| Page | 301 |
| Year | 2016 |
| Month | 12 |
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