Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis

Publication type
C1
Publication status
Published
Authors
De Clercq, O., & Hoste, V.
Editor
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk and Stelios Piperidis
Series
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Pagination
2910-2917
Publisher
ELRA (Paris, France)
Conference
Tenth International Conference on Language Resources and Evaluation (LREC2016) (Portoro┼ż, Slovenia)
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Abstract

The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis. In this paper we present the first full aspect-based sentiment analysis pipeline for Dutch
and apply it to customer reviews. To this purpose, we collected reviews from two different domains, i.e. restaurant and smartphone reviews. Both corpora have been manually annotated using newly developed guidelines that comply to standard practices in the field. For our experimental pipeline we perceive aspect-based sentiment analysis as a task consisting of three main subtasks which have to be tackled incrementally: aspect term extraction, aspect category classification and polarity classification. First experiments on our Dutch restaurant corpus reveal that this is indeed a feasible approach that yields promising results.