Extracting Opinion Expressions and Their Polarities -- Exploration of Pipelines and Joint Models
Published 19 June 2011
Richard Johansson, Alessandro Moschitti
Citations38
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TL;DR
The benefit of integrating opinion extraction and polarity classification into a joint model using features reflecting the global polarity structure is demonstrated using a model trained using large-margin structured prediction methods.
Abstract
We investigate systems that identify opinion expressions and assigns polarities to the ex-tracted expressions. In particular, we demon-strate the benefit of integrating opinion ex-traction and polarity classification into a joint model using features reflecting the global po-larity structure. The model is trained using large-margin structured prediction methods. The system is evaluated on the MPQA opinion corpus, where we compare it to the only previ-ously published end-to-end system for opinion expression extraction and polarity classifica-tion. The results show an improvement of be-tween 10 and 15 absolute points in F-measure. 1
Keywords
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