OLAC Record

Title:Manually sentiment annotated Slovenian news corpus SentiNews 1.0
Bibliographic Citation:http://hdl.handle.net/11356/1110
Creator:Bučar, Jože
Date (W3CDTF):2017-04-29T07:32:06Z
Date Available:2017-04-29T07:32:06Z
Description:Between 2 and 6 annotators independently sentiment annotated a stratified random sample of 10,427 documents from the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and Žurnal24. These portals contain political, business, economic and financial content. The texts were annotated using the five-level Lickert scale (1 – very negative, 2 – negative, 3 – neutral, 4 – positive, and 5 – very positive) on three levels of granularity, i.e. on the document, paragraph, and sentence level.
Identifier (URI):http://hdl.handle.net/11356/1110
Language (ISO639):slv
Publisher:Faculty of Information Studies Novo mesto
Rights:Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Subject:news corpus
sentiment classification
opinion mining
manual annotation
Type (DCMI):Text
Type (OLAC):primary_text


Archive:  Slovenian language resource repository CLARIN.SI
Description:  http://www.language-archives.org/archive/clarin.si
GetRecord:  OAI-PMH request for OLAC format
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OAI Info

OaiIdentifier:  oai:www.clarin.si:11356/1110
DateStamp:  2019-10-16
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Bučar, Jože. 2017. Faculty of Information Studies Novo mesto.
Terms: area_Europe country_SI dcmi_Text iso639_slv olac_primary_text

Up-to-date as of: Thu Dec 5 9:50:13 EST 2019