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How Much Linguistics Do We Need in order to Understand Online Opinions?

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How much linguistics do we need in order to understand online opinions?

Carlos Rodríguez

Research Center, Barcelona-Media, Spain

Abstract

The vast amount of online opinionated text has driven the interest of an active research community that exploits this user-generated content to gather market information and create business intelligence applications. State-of-the-art Nat- ural Language Processing techniques can provide a level of text interpretation that might be adequate for certain tasks, but there is room for improvement over the current methods which are based on pre-existing knowledge, such as prior polarity lexicons and domain ontologies. The crucial question is how much resource-intensive linguistic processing is needed to understand what people are talking about, and how do they feel about it. A principled combination of sym- bolic and stochastic approaches that is guided by bootstrapping existing and extensive Web 2.0 resources seems to be a good compromise when full text in- terpretation is not available or practical.

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