Kazuyuki Matsumoto

By Kazuyuki Matsumoto, Hayato Shimizu, Minoru Yoshida and Kenji Kita

In this study, we propose a method to detect unfair rating cheat caused by multiple comment postings focusing on time-series analysis of the number of comments. We defined the videos that obtained a lot of comments by unfair cheat as ‘unfair video’ and defined the videos which obtained without unfair cheat as ‘popular video’. Specifically, our proposed method focused on the difference of chronological distributions of the comments between the popular videos and the unfair videos. As the evaluation result, our proposed method could obtain higher accuracy than that of the baseline method.

Part of the book: Sociolinguistics

By Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita

The number of social media users has increased exponentially in recent times, and various types of social media platforms are being introduced. While social media has become a convenient communication tool, its use has caused various social problems. Some users who cannot imagine the emotions their posts may induce in readers cause what is termed as “the flaming phenomenon.” In some cases, users intentionally repeat strong remarks for self-advertisement. To identify the cause of this phenomenon, it is necessary to analyze the posted contents or the personalities of the users who cause the flaming. However, it is difficult to reach a generalized conclusion because each case varies depending on the circumstances and individual. In this chapter, we study the phenomenon of information spreading via communication on social media by conducting a detailed analysis of replies and number of retweets in Japanese, and we reveal the relation between the feedback on such posts and the emotions or empathy they result in.

Part of the book: Off and Online Journalism and Corruption

By Kazuyuki Matsumoto

Emotion has been defined as basic emotions by various researchers, however, there are not many studies describing the relation between emotion and language patterns in detail based on statistical information. There are various languages all over the world, and even a language of the same country has different writing styles/expressions depending on which language media is used or who is a writer/speaker, which is thought to make it difficult to analyze the relation of emotion and language patterns. The author has been engaged in constructing and analyzing emotion corpora in some domains based on different sources. From the analysis results, emotion expressions started to become more understood that they have differences and tendencies according to the attributes of the writers and the speakers. In this chapter, I focused on the differences detected in the attributes of the writer/speaker with respect to language patterns; in usage tendencies or combinations of words, unknown expressions (slangs), sentence patterns, non-verbal expressions (emoji, emoticon, etc.) with relevant emotions, then introduce the outcome of the analytical survey on a large scale corpus obtained from a social networking service.

Part of the book: Information Systems

By Tetsuya Tanioka, Feni Betriana, Ryuichi Tanioka, Yuki Oobayashi, Kazuyuki Matsumoto, Yoshihiro Kai, Misao Miyagawa and Rozzano Locsin

The purpose of this chapter is to explore the issues of development of conversational dialog of robots for nursing, especially for long-term care, and to forecast humanoid nursing partner robots (HNRs) introduced into clinical practice. In order to satisfy the required performance of HNRs, it is important that anthropomorphic robots act with high-quality conversational dialogic functions. As for its hardware, by allowing independent range of action and degree of freedom, the burden of quality exerted in human-robot communication is reduced, thereby unburdening nurses and professional caregivers. Furthermore, it is critical to develop a friendlier type of robot by equipping it with non-verbal emotive expressions that older people can perceive. If these functions are conjoined, anthropomorphic intelligent robots will serve as possible instructors, particularly for rehabilitation and recreation activities of older people. In this way, more than ever before, the HNRs will play an active role in healthcare and in the welfare fields.

Part of the book: Information Systems