| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 104 === ‘Chinese Mainland Students’ is the official name of those students studying in Taiwan who come from Mainland China. Due to the short time from both sides of the straits communicating to each other, peoples in Taiwan may harbour some complex emotions towards this special group of students for a long estrangement. Generally peoples’ concepts towards those students comes from news and public opinions. Our research aims to discover emotional tendencies towards ‘Chinese Mainland Students’ in news and public opinions in Taiwan, at the same time, to find whether a guidance is between both sides. Firstly, we use emotion dictionary matching based on semantic analysis to give sentiment scores of each news articles, meanwhile, to judge sentiment polarity. Secondly, we train Recurrent Neural Network Language Models based on artificial labeled corpus to estimate sentiment polarity of public opinions, in other words, peoples’ comments. Finally, we normalize both scores and try to find some correspondence rules.
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