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dc.contributor.author Kocoń, Jan
dc.contributor.author Radom, Jarema
dc.contributor.author Kaczmarz-Wawryk, Ewa
dc.contributor.author Wabnic, Kamil
dc.contributor.author Zajączkowska, Ada
dc.contributor.author Zaśko-Zielińska, Monika
dc.date.accessioned 2021-10-01T17:22:20Z
dc.date.available 2021-10-01T17:22:20Z
dc.date.issued 2021-10-01
dc.identifier.uri http://hdl.handle.net/11321/849
dc.description AspectEmo 1.0 Corpus is an extended version of a publicly available PolEmo 2.0 corpus of Polish customer reviews, that was used in many projects on the use of different methods in sentiment analysis. The AspectEmo corpus consists of four subcorpora, each containing online customer reviews from the following domains: school, medicine, hotels, and products. All documents are annotated at the aspect level with 6 sentiment categories: strong negative (minus_m), weak negative (minus_s), neutral (zero), weak positive (plus_s), strong positive (plus_m).
dc.language.iso pol
dc.publisher Wrocław University of Science and Technology
dc.rights Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.label PUB
dc.subject AspectEmo
dc.subject aspect-based sentiment analysis
dc.subject ABSA
dc.subject corpus
dc.subject Polish
dc.title AspectEmo 1.0: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
hidden false
hasMetadata false
has.files yes
branding CLARIN-PL
contact.person Jan Kocoń jan.kocon@pwr.edu.pl Wrocław University of Science and Technology
sponsor National Science Centre, Poland 2019/33/B/HS2/02814 Aspekty leksykalizacji połączeń wielowyrazowych w perspektywie semantyki relacyjnej nationalFunds
sponsor Ministry of Science and Higher Education (Poland) N/A CLARIN-PL nationalFunds
sponsor European Regional Development Fund POIR.04.02.00-00C002/19 CLARIN - Common Language Resources and Technology Infrastructure euFunds
sponsor Department of Artificial Intelligence, Wrocław University of Science and Technology N/A N/A nationalFunds
size.info 1465 texts
files.size 694842
files.count 1


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