Why do people (not) like me?: mining opinion influencing factors from reviews
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Bilici, Eda and Saygın, Yücel (2016) Why do people (not) like me?: mining opinion influencing factors from reviews. (Accepted/In Press)
Feedback, without doubt, is a very important mechanism for companies or political parties to re-evaluate and improve their processes or policies. In this paper, we propose opinion influencing factors (also called as factorial aspects) as a means to provide feedback about what influences the opinions of people. We also describe a methodology to mine opinion influencing factors from textual documents with the intention to bring a new perspective to the existing
recommendation systems by concentrating on service providers (or policy makers)
rather than customers. This new perspective enables one to discover the
reasons why people like or do not like something by learning relationships among
the traits/products via semantic rules and the factors that lead to change on
the opinions such as from positive to negative. As a case study we target the
healthcare domain, and experiment with the patients’ reviews on doctors. Experimental results show the gist of thousands of comments on particular factorial aspects associated with semantic rules in an effective way.
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