TOPIC MODELING IN SOCIAL NETWORKS AS DECISION SUPPORT SYSTEM
Journal Title: Marketing Identity - Year 2015, Vol 3, Issue 1
Abstract
This paper describes the significance of text contribution analysis from the social networks for decision support and thus obtaining of competitive advantages for companies or organizations. One of the possible methods for contribution analysis is topic modeling. This method is able to provide new approaches for searching, retrieving and summarizing information in large data corpus. Topic modeling, in connection with social networks, can be useful for time-based analysis of crisis situations, elections, launching new product on the market etc. Our main aim in this paper is to describe the usage of topic modeling methods and visualization techniques suitable to support decision making processes in organizations. The whole process is described in the context of developed web application which analyzes data (contributions) streams from social network called Twitter. This application is then compared to several worldwide solutions, deployment of the application is illustrated by the simple example.
Authors and Affiliations
Miroslav Smatana, Peter Butka
Keywords
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