By Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.)
This publication constitutes the refereed complaints of the eighth foreign convention on energetic Media expertise, AMT 2012, held in Macau, China, in December 2012. The sixty five revised complete papers have been conscientiously reviewed and chosen from a quite a few submissions. The papers are geared up in topical sections on wisdom multi-agent structures, facts mining, ontology mining, internet reasoning, social functions of lively media, human-centered computing, personalization and version, shrewdpermanent electronic artwork and e-learning.
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Additional info for Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings
Event detection in baseball video using superimposed caption recognition. In: Proc. the 10th ACM International Conference on Multimedia, pp. R. au Abstract. News blog hot topics are important for the information recommendation service and marketing. However, information overload and personalized management make the information arrangement more difﬁcult. Moreover, what inﬂuences the formation and development of blog hot topics is seldom paid attention to. In order to correctly detect news blog hot topics, the paper ﬁrst analyzes the development of topics in a new perspective based on W2T (Wisdom Web of Things) methodology.
According to the social network analysis theory, the structure of an online community is related to user interaction patterns and relationships among users. The obvious phenomena are the most of users are active in the early phase. The phenomena can be explained as follows. Users lack the authoritative information and are very curious about the event in the early phase. Hence, the eﬀect of sheep ﬂock occurs in the community. When a public opinion comes into being, the phenomenon of spiral of silence emerges.
The formation and structural change of an opinion network all result from the interaction between users. The opinion expression is also the motivation of topic interaction, and the opinion network contributes to understanding the user behavior and evolution of network opinions. On the other hand, users also publish opinions on a topic from diﬀerent views, and the opinion distribution in the opinion network can reﬂect the state of the topic. Besides, the structure and sentimental polarity distribution of the opinion network contribute to recognizing the opinion leaders .