Extended rule-based opinion target extraction with a novel text pre-processing method and ensemble learning

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dc.authoridKaraoglan, Kursat Mustafa/0000-0001-9830-7622
dc.contributor.authorKaraoglan, Kursat Mustafa
dc.contributor.authorFindik, Oguz
dc.date.accessioned2024-09-29T15:55:04Z
dc.date.available2024-09-29T15:55:04Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractOpinion target extraction (OTE) is the extraction of explicit expressions related to entity aspects interpreted with subjective attributive words in the review sentences using supervised or rulebased approaches. Despite the constraints of syntactic-based relation rules, rule-based approaches can be domain-independently implemented. Although supervised approaches yield better results, more costly due to requiring a large number of labeled samples. This study proposes an unsupervised (rule-based) OTE approach with novel methods and extended rule-based techniques to overcome the aforementioned issues. In this study, first, a novel pattern-based text pre-processing method is proposed to eliminate punctuations that are incompatible with determinative group rules patterns. Then, implemented syntactic-based relation rules on the dependency relation graph are extended with new auxiliary features to extract multi-word expressions which modify each other. The majority voting method is used for optimizing the performance of outputs. Finally, the effectiveness of the proposed approach was tested on a restaurant review dataset. The experimental results show that the proposed approach outperforms all unsupervised approaches. Additionally, it gives comparable results with the supervised approaches, revealing the effectiveness of the proposed approach. (C) 2022 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2022.108524
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85125408562en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2022.108524
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4431
dc.identifier.volume118en_US
dc.identifier.wosWOS:000791538500019en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOpinion miningen_US
dc.subjectAspect-based sentiment analysisen_US
dc.subjectOpinion target extractionen_US
dc.subjectAspect extractionen_US
dc.subjectPattern-based text pre-processingen_US
dc.subjectSyntactic-based relation rulesen_US
dc.subjectEnsemble learningen_US
dc.subjectUnsupervised learningen_US
dc.titleExtended rule-based opinion target extraction with a novel text pre-processing method and ensemble learningen_US
dc.typeArticleen_US

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