Abstract
In this paper, we present our contribution in SemEval2014 ABSA task, some supervised methods for Aspect-Based Sentiment Analysis of restaurant and laptop reviews are proposed, implemented and evaluated. We focus on determining the aspect terms existing in each sentence, finding out their polarities, detecting the categories of the sentence and the polarity of each category. The evaluation results of our proposed methods exhibit a significant improvement in terms of accuracy and f-measure over all four subtasks regarding to the baseline proposed by SemEval organisers.
Cite
CITATION STYLE
Hamdan, H., Bellot, P., & Béchet, F. (2014). Supervised Methods for Aspect-Based Sentiment Analysis. In 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings (pp. 596–600). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2104
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