Abstract
This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources. The two latter domains provide service-oriented data, which has not been investigated before in ABSA. By performing in-domain and cross-domain experiments the validity of our approach was investigated. We show promising results for the three ABSA subtasks, aspect term extraction, aspect category classification and aspect polarity classification.
Cite
CITATION STYLE
de Clercq, O., Lefever, E., Jacobs, G., Carpels, T., & Hoste, V. (2017). Towards an integrated pipeline for aspect-based sentiment analysis in various domains. In EMNLP 2017 - 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2017 - Proceedings of the Workshop (pp. 136–142). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-5218
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