Show simple item record Kocoń, Jan Zaśko-Zielińska, Monika Miłkowski, Piotr Janz, Arkadiusz Piasecki, Maciej 2019-07-31T21:30:26Z 2019-07-31T21:30:26Z 2019-07-31
dc.description Wroclaw Corpus of Consumer Reviews is a corpus of Polish reviews annotated with sentiment at the level of the whole text (*text*) and at the level of sentences (*sentence*) for the following domains: hotels, medicine, products and university (reviews*). Sentences are annotated with sentiment only for hotels and medicine. Each *sentence* file contains a single sentence with a sentiment __label__z_X and each *text* file contains a single review with a sentiment __label__meta_X. Regardless a resource type, X can be: minus_m -- strong negative; minus_s -- weak negative, zero -- neutral, amb -- ambiguous, plus_s -- weak positive, plus_m -- strong positive. *all* sets are groups of all domains within each text/sentence type. Train/dev/test divisions were used for the evaluation. Results are available in the following paper: @InProceedings{Kocon2019, Title = {{Multi-level analysis and recognition of the text sentiment on the example of consumer opinions}}, Author = {Koco{\'n}, Jan and Zaśko-Zielińska, Monika and Miłkowski, Piotr}, Booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019}, Year = {2019}, } Please cite this paper if you use this resource.
dc.language.iso pol
dc.publisher Wroclaw University of Science and Technology
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.label CC
dc.subject sentiment analysis
dc.subject consumer opinions
dc.subject Polish
dc.title Wroclaw Corpus of Consumer Reviews Sentiment (WCCRS)
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
hidden false
hasMetadata false
has.files yes
branding CLARIN-PL
contact.person Jan Kocoń Wroclaw University of Science and Technology
sponsor Ministry of Science and Higher Education (Poland) N/A CLARIN-PL nationalFunds 32 files
files.size 15917355
files.count 1

 Files in this item

This item is
Distributed under Creative Commons
and licensed under:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Attribution Required Share Alike
15.18 MB
 Download file

Show simple item record