A Framework for a Posteriori Method of Transitional Analysis to Diffuse ICT Services Based on Text Mining

• Published in: Advanced Techniques for Knowledge Engineering and Innovative Applications pp. 39 - 55
• Main Author: Iwashita, Motoi
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Communications in Computer and Information Science
• Subjects: Co-occurrence; Data mining; Diffusion mechanism; ICT services; Semantic content; Text mining; Time-series analysis
• ISBN: 9783642420160; 3642420168
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-642-42017-7_4

It is essential to know how customers perceive their wants and needs and what they require in the diffusion of Information and Communication Technology (ICT) services. Customer perceptions/requirements of ICT services have continuously been changing and have depended on new developments in technology and improvements to user-operability. Therefore, it is necessary to sense customer wants and needs by continuously monitoring their behaviours could be used in marketing. This chapter first proposes the framework of a posteriori method of transitional analysis to solve these issues, which is used to analyze blogs and news events on ICT services as time-series data based on a text mining technique. Therefore, a person in enterprise can detect changes in customer perceived requirements through the co-occurrences and transition rates of terms by taking into consideration the network or its ICT services. The proposed method was applied to Worldwide Interoperability for Microwave Access (WiMAX) as a high-speed wireless access services by collecting and analyzing blog data. And obtained practical results show adequacy in the right of the fact that the service has been evolved.