A Process to Support Analysts in Exploring and Selecting Content from Online Forums

Darlinton Carvalho, Ricardo Marcacini, Carlos Lucena, Solange Rezende
2014 Social Networking  
The public content increasingly available on the Internet, especially in online forums, enables researchers to study society in new ways. However, qualitative analysis of online forums is very time consuming and most content is not related to researchers' interest. Consequently, analysts face the following problem: how to efficiently explore and select the content to be analyzed? This article introduces a new process to support analysts in solving this problem. This process is based on
more » ... sed machine learning techniques like hierarchical clustering and term co-occurrence network. A tool that helps to apply the proposed process was created to provide consolidated and structured results. This includes measurements and a content exploration interface.
doi:10.4236/sn.2014.32011 fatcat:q37ibonpkfaejhslopual3iuwu