| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 106 === Nowadays increasingly busy lives and the and easy accessibility of Internet, the development of social networking sites has been promoted, and the number of users has increased dramatically year by year. This study used Twitter, one of the top 10 global community websites in 2017, as a source of collection of emotional analysis data, and as the combination of this study. The other data were collected from movie websites of Box Office Mojo and IMDB (Internet Movie Database)
This study uses the least square support vector regression (LSSVR) and the following three models Multivariate Linear Regression (MLR), Back Propagation Neural Networks (BPNN), the General Regression Neural Network (GRNN) to analyze the data. The cross validation procedure was performed. The numerical results indicated that the Mean Absolute Percentage Error (MAPE) of the emotional data combined with structured data is lower than that generated by the single data (emotional data or structured data). In addition, the prediction results of LSSVR model are better than that of the other modes.
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