Towards a process to support solving the content selection problem from online community forums

• Dárlinton B. F. Carvalho Universidade Federal do Rio de Janeiro
• Ricardo M. Marcacini Universidade de São Paulo
• Carlos J. P. de Lucena Universidade Federal do Rio de Janeiro
• Solange O. Rezende Universidade de São Paulo

Resumo

There are plenty of public content available on the Internet, especiallyin online communities, enabling researchers to study society in new ways.Since the qualitative content analysis of online forums is very time consuming,the following problem arises: how to select the content to be analyzed? Thispaper introduces a new process to support solving this problem. This process isbased on unsupervised machine learning techniques and provides consolidatedand structured results. This includes measurements and a content explorationmethod. A tool that helps to apply the proposed process was created and ispresented as well.

Palavras-chave: Seleção de Conteúdo, Fóruns Online, Aprendizado de Máquina

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