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Authors: Carolin Kaiser ; Sabine Schlick and Freimut Bodendorf

Affiliation: University of Erlangen-Nuremberg, Germany

ISBN: 978-989-8425-28-7

Keyword(s): Opinion mining, Social network analysis, Neuro fuzzy model, Internet.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Intelligence Applications ; Computational Intelligence ; Data Mining in Electronic Commerce ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: More and more people are exchanging their opinions in online social networks and influencing each other. It is crucial for companies to observe opinion formation concerning their products. Thus, risks can be recognized early on and counteractive measures can be initiated by marketing managers. A neuro fuzzy approach is presented which allows the detection of critical situations in the process of opinion formation and the alerting of marketing managers. Rules for identifying critical situations are learned on the basis of the opinions of the network members, the influence of the opinion leaders and the structure of the network. The opinions and characteristics of the network are identified by text mining and social network analysis. The approach is illustrated by an exemplary application.

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Paper citation in several formats:
Kaiser, C.; Schlick, S. and Bodendorf, F. (2010). DISCOVERING CRITICAL SITUATIONS IN ONLINE SOCIAL NETWORKS - A Neuro Fuzzy Approach to Alert Marketing Managers.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 56-64. DOI: 10.5220/0003070900560064

@conference{kdir10,
author={Carolin Kaiser. and Sabine Schlick. and Freimut Bodendorf.},
title={DISCOVERING CRITICAL SITUATIONS IN ONLINE SOCIAL NETWORKS - A Neuro Fuzzy Approach to Alert Marketing Managers},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={56-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003070900560064},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - DISCOVERING CRITICAL SITUATIONS IN ONLINE SOCIAL NETWORKS - A Neuro Fuzzy Approach to Alert Marketing Managers
SN - 978-989-8425-28-7
AU - Kaiser, C.
AU - Schlick, S.
AU - Bodendorf, F.
PY - 2010
SP - 56
EP - 64
DO - 10.5220/0003070900560064

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