Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series)
Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series)
Ontology-supported polarity mining
Journal of the American Society for Information Science and Technology
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
A map-based visualization tool to support tutors in e-learning 2.0
HSI'09 Proceedings of the 2nd conference on Human System Interactions
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An increasing number of users of opinion forums provide us with rich sources of data about customer opinions. Several fields of research deal with the analysis of qualitative or quantitative data. While affective text mining research explores qualitative data, social network analysis focuses on quantitative mining methods. A combined analysis of both information classes is still missing. However, this combined analysis is necessary for identifying the process of opinion formation in opinion forums. In this paper, we attempt to bridge this gap by applying new methods which are required for network analysis of opinion forum data. We are also presenting a plug-in for the popular biological research tool Cytoscape. This plug-in combined with visualization features of Cytoscape implements the key features described in this paper. Our approach will provide companies with information about chances and risks concerning their products.