PolEmo 2.0 Sentiment Analysis Dataset for CoNLL

Kocoń, Jan; Zaśko-Zielińska, Monika; Miłkowski, Piotr

dc.contributor.author	Kocoń, Jan
dc.contributor.author	Zaśko-Zielińska, Monika
dc.contributor.author	Miłkowski, Piotr
dc.date.accessioned	2019-09-19T10:38:37Z
dc.date.available	2019-09-19T10:38:37Z
dc.date.issued	2019-09-19
dc.identifier.uri	http://hdl.handle.net/11321/710
dc.description	PolEmo 2.0: Corpus of Multi-Domain Consumer Reviews, evaluation data for article presented at CoNLL Citation: @inproceedings{kocon-etal-2019-multi, title = "Multi-Level Sentiment Analysis of {P}ol{E}mo 2.0: Extended Corpus of Multi-Domain Consumer Reviews", author = "Koco{\'n}, Jan and Mi{\l}kowski, Piotr and Za{\'s}ko-Zieli{\'n}ska, Monika", booktitle = "Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)", month = nov, year = "2019", address = "Hong Kong, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/K19-1092", doi = "10.18653/v1/K19-1092", pages = "980--991", abstract = "In this article we present an extended version of PolEmo {--} a corpus of consumer reviews from 4 domains: medicine, hotels, products and school. Current version (PolEmo 2.0) contains 8,216 reviews having 57,466 sentences. Each text and sentence was manually annotated with sentiment in 2+1 scheme, which gives a total of 197,046 annotations. We obtained a high value of Positive Specific Agreement, which is 0.91 for texts and 0.88 for sentences. PolEmo 2.0 is publicly available under a Creative Commons copyright license. We explored recent deep learning approaches for the recognition of sentiment, such as Bi-directional Long Short-Term Memory (BiLSTM) and Bidirectional Encoder Representations from Transformers (BERT).", }
dc.language.iso	pol
dc.publisher	Wrocław University of Science and Technology
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	sentiment analysis
dc.subject	Polish
dc.subject	consumer reviews
dc.title	PolEmo 2.0 Sentiment Analysis Dataset for CoNLL
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
size.info	8216 texts
files.size	49577463
files.count	4