Authorship：Lead author,　Corresponding author   Publishing type：Research paper (bulletin of university, research institution)   International / domestic magazine：Domestic journal  

DOI： 10.15099/00019182

CiNii Article

Other URL： http://hdl.handle.net/10110/00019182

Publishing type：Research paper (bulletin of university, research institution)   International / domestic magazine：Domestic journal  

An increasing amount of research is being conducted using online word-ofmouth sources. Most of this research uses data from web communities, message boards, and other sources with a defined scope, thereby analyzing only a portion of web-based, word-of-mouth data. Inherent in this is the problem of data bias. This paper considers information search activities, specifically keyword searches, and investigates the potential of keyword-based, web community analyses. Analyzing 3,371,697 Japanese-language web pages and 585,967,002 links within these pages that are related to a specific product, the analysis yields four different points to illustrate the difficulty in segmenting web communities based on keywords.

DOI： 10.24544/ocu.20180609-003

CiNii Article

Publishing type：Research paper (bulletin of university, research institution)  

CiNii Article

This article examines the diffusion of innovations that resulted in micro social phenomena. We use text mining to analyze online bulletin boards (kakaku.com). Lastly, we discuss an analytical method that can support decision-making in new-product development, and explore the needs of word-of-mouth data on the Internet, such as blogs and social networking sites (SNS).

DOI： 10.20627/jsim.35.1_72

CiNii Article

This article examines the diffusion of innovations which resulted in micro social phenomena. As such, it addresses the methodological problem concerning identification of innovation, that is, if innovation is regarded as the cognition of subjective 'new' value, who perceives newness of technologies and products? Combining Actor-network theory and Institutional theory of organizations, we suggest that the diffusion of innovations is a process in which a variety of actors commonalize institutional carriers. Based on this perspective, we analyze online bulletin board for comparing products (Kakaku.com) with Text mining. Lastly, we discuss this analytical method which can support decision making in new product development, and explore needs in the word-of-mouth information on internet such as blogs and SNS.

DOI： 10.20627/jsim.34.3_115

CiNii Article

This article discusses some methodological considerations about using Text Mining technology. We interpret the result of Text Mining, based on New Institutional Theory. As a result, we made clear that sign representation is the leverage point in an understanding either isomorphism or differentiation. Moreover, we designate the diffusion of innovations as to be common sign representations. Finally, we suggest the method of Text Mining as how to analyze the diffusion process.

DOI： 10.20627/jsim.35.1_59

CiNii Article

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)  

Presentation type：Oral presentation (general)