<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-04T14:39:15Z</responseDate><request verb="GetRecord" identifier="oai:clarin-pl.eu:11321/700" metadataPrefix="oai_dc">https://clarin-pl.eu/oai/request</request><GetRecord><record><header><identifier>oai:clarin-pl.eu:11321/700</identifier><datestamp>2019-07-31T21:30:26Z</datestamp><setSpec>hdl_11321_3</setSpec><setSpec>hdl_11321_4</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>Wroclaw Corpus of Consumer Reviews Sentiment (WCCRS)</dc:title>
<dc:creator>Kocoń, Jan</dc:creator>
<dc:creator>Zaśko-Zielińska, Monika</dc:creator>
<dc:creator>Miłkowski, Piotr</dc:creator>
<dc:creator>Janz, Arkadiusz</dc:creator>
<dc:creator>Piasecki, Maciej</dc:creator>
<dc:subject>sentiment analysis</dc:subject>
<dc:subject>consumer opinions</dc:subject>
<dc:subject>Polish</dc:subject>
<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:&#xd;
&#xd;
@InProceedings{Kocon2019,&#xd;
  Title                    = {{Multi-level analysis and recognition of the text sentiment on the example of consumer opinions}},&#xd;
  Author                   = {Koco{\'n}, Jan and Zaśko-Zielińska, Monika and Miłkowski, Piotr},&#xd;
  Booktitle                = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019},&#xd;
  Year                     = {2019},&#xd;
}&#xd;
&#xd;
Please cite this paper if you use this resource.</dc:description>
<dc:date>2019-07-31</dc:date>
<dc:type>corpus</dc:type>
<dc:identifier>http://hdl.handle.net/11321/700</dc:identifier>
<dc:language>pol</dc:language>
<dc:rights>Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
<dc:rights>CC</dc:rights>
<dc:format>text/plain; charset=utf-8</dc:format>
<dc:format>application/zip</dc:format>
<dc:format>downloadable_files_count: 1</dc:format>
<dc:publisher>Wroclaw University of Science and Technology</dc:publisher>
</oai_dc:dc>
</metadata></record></GetRecord></OAI-PMH>