@inproceedings{de-clercq-etal-2017-towards,
title = "Towards an integrated pipeline for aspect-based sentiment analysis in various domains",
author = "De Clercq, Orph{\'e}e and
Lefever, Els and
Jacobs, Gilles and
Carpels, Tijl and
Hoste, V{\'e}ronique",
editor = "Balahur, Alexandra and
Mohammad, Saif M. and
van der Goot, Erik",
booktitle = "Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5218",
doi = "10.18653/v1/W17-5218",
pages = "136--142",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Towards an integrated pipeline for aspect-based sentiment analysis in various domains
%A De Clercq, Orphée
%A Lefever, Els
%A Jacobs, Gilles
%A Carpels, Tijl
%A Hoste, Véronique
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y van der Goot, Erik
%S Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F de-clercq-etal-2017-towards
%X 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.
%R 10.18653/v1/W17-5218
%U https://aclanthology.org/W17-5218
%U https://doi.org/10.18653/v1/W17-5218
%P 136-142
Markdown (Informal)
[Towards an integrated pipeline for aspect-based sentiment analysis in various domains](https://aclanthology.org/W17-5218) (De Clercq et al., WASSA 2017)
ACL