Since ¡§The City of Sadness¡¨ won the first Golden Lion Award of International Venice Film Festival, winning an international award has become a rule that Taiwanese film do its marketing strategy. However, although ¡§The City of Sadness¡¨ created a high profit in its sales, other awarded movies seem not so lucky in the sales performance. This research mainly bases on the aspect of marketing to study the phenomenon that Taiwanese film industry devotes in attending international film festival as its marketing strategy and further to analyze the relationship between the movie box office and this phenomenon. Secondary data would be employed in this research. As a result, besides ¡§The City of Sadness¡¨, both ¡§The Wedding Banquet¡¨ and ¡§Crouching Tiger Hidden Dragon¡¨ also have good performance in their sales. However, the success of these two movies not only resulted from getting awards but also the stories of the movies could attract people to go to the theater. According to the result of this research, we can find that there are more than 400 international film festivals in the world, but only Oscar Award is related with the sales of the film. On the other hand, other film festivals have not been able to attract people as much as ¡§The City of Sadness¡¨ did. Moreover, this situation also can prove one thing: the movie should be developed by commercial mode in order to be accepted by most audiences. To sum up, Taiwanese movies are on purpose (e.g. increase profit and government support) to attend international film festival. However, there are not any benefits to the market of the Taiwan movie and it will let audiences to be distant from their owner entertainments product of their country. If Taiwan government cannot identify the real direction of the Taiwan movies, there is no future of Taiwan movies.

The main hypothesis of this dissertation says that movies which are shown in cinemas in 2D and also 3D version have greater box office than movies which are shown only in 2D version. The model with two simultaneous equations was constructed to confirm or reject this hypothesis. Data set includes movies which had wide release between January 2009 and December 2011 in the USA. The results show that 3D has no influence in the first week but there are negative significant effect on the number of screens, which could be connected with insufficient capacity of technologically equipped screens, and positive significant effect on revenues in the next nine weeks. The model includes other important and significant factors influencing revenues and the thesis compares these results with recent literature dealing with this topic.

abstract: Predictive analytics embraces an extensive area of techniques from statistical modeling to machine learning to data mining and is applied in business intelligence, public health, disaster management and response, and many other fields. To date, visualization has been broadly used to support tasks in the predictive analytics pipeline under the underlying assumption that a human-in-the-loop can aid the analysis by integrating domain knowledge that might not be broadly captured by the system. Primary uses of visualization in the predictive analytics pipeline have focused on data cleaning, exploratory analysis, and diagnostics. More recently, numerous visual analytics systems for feature selection, incremental learning, and various prediction tasks have been proposed to support the growing use of complex models, agent-specific optimization, and comprehensive model comparison and result exploration. Such work is being driven by advances in interactive machine learning and the desire of end-users to understand and engage with the modeling process. However, despite the numerous and promising applications of visual analytics to predictive analytics tasks, work to assess the effectiveness of predictive visual analytics is lacking. This thesis studies the current methodologies in predictive visual analytics. It first defines the scope of predictive analytics and presents a predictive visual analytics (PVA) pipeline. Following the proposed pipeline, a predictive visual analytics framework is developed to be used to explore under what circumstances a human-in-the-loop prediction process is most effective. This framework combines sentiment analysis, feature selection mechanisms, similarity comparisons and model cross-validation through a variety of interactive visualizations to support analysts in model building and prediction. To test the proposed framework, an instantiation for movie box-office prediction is developed and evaluated. Results from small-scale user studies are presented and discussed, and a generalized user study is carried out to assess the role of predictive visual analytics under a movie box-office prediction scenario. / Dissertation/Thesis / Doctoral Dissertation Engineering 2017