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Contribution to Book
Fuzzy Online Reputation Analysis Framework
Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications
  • Edy Portmann, University of Fribourg, Switzerland
  • Tam Nguyen, University of Dayton
  • Jose Sepulveda, National University of Singapore
  • Adrian David Cheok, National University of Singapore
Document Type
Book Chapter
Publication Date
1-1-2012
Abstract

The fuzzy online reputation analysis framework, or “foRa” (plural of forum, the Latin word for marketplace) framework, is a method for searching the Social Web to find meaningful information about reputation. Based on an automatic, fuzzy-built ontology, this framework queries the social marketplaces of the Web for reputation, combines the retrieved results, and generates navigable Topic Maps. Using these interactive maps, communications operatives can zero in on precisely what they are looking for and discover unforeseen relationships between topics and tags. Thus, using this framework, it is possible to scan the Social Web for a name, product, brand, or combination thereof and determine query-related topic classes with related terms and thus identify hidden sources. This chapter also briefly describes the youReputation prototype (www.youreputation.org), a free Web-based application for reputation analysis. In the course of this, a small example will explain the benefits of the prototype.

Inclusive pages
117-140
ISBN/ISSN
9781466600959
Comments

Permission documentation is on file.

Publisher
IGI Global
Place of Publication
Hershey, PA
Peer Reviewed
Yes
Citation Information
Edy Portmann, Tam Nguyen, Jose Sepulveda and Adrian David Cheok. "Fuzzy Online Reputation Analysis Framework" Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications (2012)
Available at: http://works.bepress.com/tam-nguyen/12/