Extracting Implicit Opinions of Economic Texts
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2010, Vol 3, Issue 3
Abstract
We propose a new approach to opinion mining that relies not on explicit occurrences of opinions in economic texts but on implicit ones extracted from the polarity of the discussed economic subtopic. We begin by dynamically generating a financial text corpus, following outgoing links from a set of financial web pages and then by checking whether economic topics are discussed. We separate economic from non economic texts by searching for key expressions from a database built beforehand. In the second phase we prove that the majority of economic texts that contain personal opinions can be retrieved based solely on the implicit opinions within. We rely on co-occurrences of economic indicators and future state modifiers to determine the polarity of each text. We also present an extraction method for the said key terms.
Authors and Affiliations
Claudiu Cristian Muşat, Ştefan Trauşan-Matu
Keywords
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