Digital Hollywood University

About: Digital Hollywood University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Investment (macroeconomics) & Investment decisions. The organization has 14 authors who have published 11 publications receiving 75 citations.

The 'hit' phenomenon: A mathematical model of human dynamics interactions as a stochastic process

Abstract: A mathematical model for the 'hit' phenomenon in entertainment within a society is presented as a stochastic process of human dynamics interactions. The model uses only the advertisement budget time distribution as an input, and word-of-mouth (WOM), represented by posts on social network systems, is used as data to make a comparison with the calculated results. The unit of time is days. The WOM distribution in time is found to be very close to the revenue distribution in time. Calculations for the Japanese motion picture market based on the mathematical model agree well with the actual revenue distribution in time.

Research on college English teaching based on data mining technology

Abstract: To improve the efficiency and quality of college English teaching, we analyzed the feasibility and application process of data mining technology in college English teaching. The entire process of data classification mining was fully realized. A new teaching program was proposed. The object and target of data mining were determined. Online surveys were used to collect data. Data integration, data cleaning, data conversion, data reduction and other pre-processing technologies were adopted. The decision tree was generated by using the C4.5 algorithm, and the pruning was carried out. The result analysis decision tree model was completed. A detailed survey of the students' English learning in University was made in detail. The results showed that the qualified rate of students' English performance was increased from 20–30% to 50–60%. Therefore, the classification rules provide theoretical support for the school teaching decision. This method can improve the quality of English teaching.

‘Brand Japan’ and the Internationalization of Japanese Creative Industries

Abstract: This paper examines major issues in the internationalization of Japanese creative industries, recent supporting policy initiatives, and their industry and political context. Supporting internationalization of Japanese media content and other creativity-intense exports is a substantial policy priority of the Abe Government. The motivation is three-fold: recognition of the domestic and international economic significance of the industries, perceived positive spillover effects for other industries such as inbound tourism, and anticipated gains in national ‘soft power’. The potential economic benefits from further growth in Japanese content, and other creativity-intense, exports, were prioritised by METI from soon after the establishment of the Koizumi Government; a time of considerable despair about Japan’s future international competitiveness in an ostensibly ‘post-industrial’ global economy. Additional pay-offs in terms of enhanced national influence abroad were claimed in light of growing journalistic and academic interest in perceived positive instances such as the ‘Cool Britannia’ effect, an influential report on ‘Japan’s Gross National Cool’, and, negatively, Nye’s critique of the decline of American ‘soft power’. The ascendancy of manga fan Taro Aso to the foreign ministership in the final Koizumi Cabinet, and continuation under Abe, has led to explicit initiatives to harness Japanese media content, creators and entrepreneurs to enhanced public diplomacy initiatives abroad. In an April 2006 speech to a digital content industry audience, Aso stated that “…one part of diplomacy lies in having a competitive brand image..” and asked for their assistance in “…polishing the Japan ‘brand’.” The prospects for such are considered in the paper.

The A-MPM decision-making model for film project investment: a partnership with filmmakers

Abstract: This paper looks at the financing of commercial film projects in Japan. A scientific approach is used to quantify the factors that film producers and investors use to make investment decisions regarding film projects--a process that was previously unarticulated. The result of this research is the creation of the A-MPM (Amasakalab's Movie Projects Performance Model), a shared decision-making model for film project investment that aims to promote quality investment decisions and support partnerships between film producers and investors during the subsequent process of filmmaking.

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Abstract: Massive English film and television resources will provide people with a rich content, while it has become more and more difficult for people to find the resources and information they need. Through the analysis of massive amounts of film and television data, the application system can effectively push the works that users may like. In response to this problem, we can build an English film and television resource information mining model by combining fuzzy neural network algorithms and dynamic data stream classification technology. Firstly, we use dynamic data stream classification technology to preprocess and screen English film and television resource information. Secondly, we use the fuzzy neural network algorithm to conduct data mining on related film and television resource information. The experimental results verify the superior performance of the English film and television resource information mining model established in this paper. This model can help people to find the resources and information they need.