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dc.contributor.author Kocoń, Jan
dc.contributor.author Janz, Arkadiusz
dc.contributor.author Piasecki, Maciej
dc.date.accessioned 2025-12-17T10:24:05Z
dc.date.available 2025-12-17T10:24:05Z
dc.date.issued 2018-01-01
dc.identifier.uri http://hdl.handle.net/11321/982
dc.description In this paper we present a comprehensive overview of recent methods of the sentiment propagation in a wordnet. Next, we propose a fully automated method called Classifier-based Polarity Propagation, which utilises a very rich set of features, where most of them are based on wordnet relation types, multi-level bag-ofsynsets and bag-of-polarities. We have evaluated our solution using manually annotated part of plWordNet 3.1 emo, which contains more than 83k manual sentiment annotations, covering more than 41k synsets. We have demonstrated that in comparison to existing rule-based methods using a specific narrow set of semantic relations our method has achieved statistically significant and better results starting with the same seed synsets.
dc.language.iso eng
dc.publisher Global Wordnet Association
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label CC
dc.subject wordnet
dc.subject Słowosieć
dc.subject plWordNet
dc.subject sentiment
dc.title Context-sensitive Sentiment Propagation inWordNet
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.detailedType other
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN-PL
contact.person Alicja Derych alicja.derych@pwr.edu.pl Politechnika Wrocławska
files.size 236815
files.count 1


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