Towards an integrated pipeline for aspect-based sentiment analysis in various domains

Orphée De Clercq, Els Lefever, Gilles Jacobs, Tijl Carpels, Véronique Hoste


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.
Anthology ID:
W17-5218
Volume:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Alexandra Balahur, Saif M. Mohammad, Erik van der Goot
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
136–142
Language:
URL:
https://aclanthology.org/W17-5218
DOI:
10.18653/v1/W17-5218
Bibkey:
Cite (ACL):
Orphée De Clercq, Els Lefever, Gilles Jacobs, Tijl Carpels, and Véronique Hoste. 2017. Towards an integrated pipeline for aspect-based sentiment analysis in various domains. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 136–142, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Towards an integrated pipeline for aspect-based sentiment analysis in various domains (De Clercq et al., WASSA 2017)
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PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/W17-5218.pdf