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We describe the work carried out by DCU on the Aspect Based Sentiment Analysis task at SemEval 2014.Our team submitted one constrained run for the restaurant domain and one for the laptop domain for sub-task B (aspect term polarity prediction), ranking highest out of 36 systems on the restaurant test set and joint highest out of 32 systems on the laptop test set.
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Wagner, J., Arora, P., Cortes, S., Barman, U., Bogdanova, D., Foster, J., & Tounsi, L. (2014). DCU: Aspect-based Polarity Classification for SemEval Task 4. International Workshop on Semantic Evaluation (SemEval). https://doi.org/10.3115/v1/s14-2036
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