Peer-reviewed

Opinion analysis in online networks using swarm intelligence

Online, opinions influence each other. We analyze opinion formation as a consequence of collectively intelligent behavior.

Warning system for online market research - Identifying critical situations in online opinion formation

Opinion-forming on Web 2.0 is connecting more and more people. How can the process be monitored in order to intervene at an early stage?

Early warning system for identifying critical situations in opinion formation on Web 2.0

In Web 2.0, more and more people are joining together to form communities in which they exchange views about companies' products. In the ...

Analyzing Opinion Formation in Online Social Networks - Mining Services for Online Market Research

Forming opinions via the Internet yields significant market research information. How can these formations be analyzed by mining services?

Analyse der Meinungsentwicklung in Online-Foren - Konzept und Fallstudie

Web 2.0 is growing as a global platform for expressing opinions. How can opinions be monitored to use them for market research?

Ant-based Simulation of Opinion Spreading in Online Social Networks

Online, the interaction between people is increasing. How can the opinion spread be observed to take appropriate actions when necessary?

Detecting Opinion Leaders and Trends in Online Communities

Online communities become increasingly interactive. A new approach analyzes the opinion forming process based on social network analysis.

Discovering critical situations in online social networks – a neuro fuzzy approach to alert marketing managers

More opinion exchange is happening in online social networks. How can the opinion formation process be observed to recognize risks early?

Early Warning and Decision Support in Critical Situations of Opinion Formation within Online Social Networks

A growing number of opinions are exchanged in online social networks. How can the formation be observed to identify risks at an early stage?

Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry

The Internet is becoming a platform of interaction. How can customer discussions be analyzed to act as a valuable source of information?

Swarm Intelligence for Analyzing Opinions in Online Communities

The increasing interaction within online communities is pushed by the Web 2.0. How can the process of online opinion formation be analysed?

Verbrauchsstrukturen von Öko-Intensivkäufern im Fokus

Eco products are available in stores almost everywhere. How does the consumption of eco-intensive shoppers differ from other customers?

Combining Text Mining and Data Mining For Gaining Valuable Knowledge from Online Reviews

In social networks, users exchange their product experiences. How can we automatically analyze this huge amount of marketing information?

Opinion and Relationship Mining in Online Forums

In Web 2.0, users increasingly exchange their product opinions. How can we automatically analyze this abundance of information?

Compensatory versus noncompensatory models for predicting consumer preferences

People often use heuristics when making decisions. Greedoid algorithms can be used to identify lexicographic heuristics, for example.

Analyse von Meinungen in sozialen Netzwerken des Web 2.0

In social networks, users exchange opinions about products. How can text mining make it possible to extract these opinions automatically?