| dc.contributor.author | Kadunc, Klemen |
| dc.contributor.author | Robnik-Šikonja, Marko |
| dc.date.accessioned | 2017-05-28T08:41:45Z |
| dc.date.available | 2017-05-28T08:41:45Z |
| dc.date.issued | 2017-05-28 |
| dc.identifier.uri | http://hdl.handle.net/11356/1115 |
| dc.description | The corpus of web commentaries with sentiment categorizations was developed as a part of BSc Thesis (Kadunc, 2016) and served for evaluation of the Slovene Sentiment Lexicon KSS http://hdl.handle.net/11356/1097. It contains web commentaries about different topics (business, politics, sport, and other) from 4 Slovene web portals (RtvSlo, 24ur, Finance, Reporter). The corpus is in XML format and available in two forms: - original corpus, containing 4,777 commentaries, 898 positive, 3,291 negative and 588 neutral commentaries. - balanced corpus, a subset of the original corpus, containing 1,740 commentaries, 580 of each type of sentiment (positive, negative and neutral). References: Klemen Kadunc (2016). Določanje sentimenta slovenskim spletnim komentarjem s pomočjo strojnega učenja. Diplomsko delo. Univerza v Ljubljani, Fakulteta za računalništvo in informatiko (in Slovene). http://eprints.fri.uni-lj.si/3317/ Klemen Kadunc, Marko Robnik-Šikonja (2016). Analiza mnenj s pomočjo strojnega učenja in slovenskega leksikona sentimenta. Conference on Language Technologies & Digital Humanities, Ljubljana (in Slovene). http://www.sdjt.si/wp/dogodki/konference/jtdh-2016/zbornik/ |
| dc.language.iso | slv |
| dc.publisher | Faculty of Computer and Information Science, University of Ljubljana |
| 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 | PUB |
| dc.subject | web commentaries |
| dc.subject | opinion corpus |
| dc.subject | sentiment analysis |
| dc.title | Opinion corpus of Slovene web commentaries KKS 1.001 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Marko Robnik-Šikonja marko.robnik@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana |
| size.info | 4777 texts |
| files.count | 4 |
| files.size | 5999728 |
Datoteke v tem vnosu
Prenesi vse datoteke v vnosu (5.72 MB)To je vnos
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
z licenco:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Ime
- klxSAcorpus_20160224_1001.zip
- Velikost
- 945.11 KB
- Format
- application/zip
- Opis
- original opinion corpus
- MD5
- 364dd759dce464a61e7781af13cb05c9
- klxSAcorpus_20160224_1001
- klxSAcorpus_20160224_1001.xml3 MB
- readme.txt1 kB
- annotatedData.xsd7 kB
- Ime
- klxSAcorpus_20160224_1001bal.zip
- Velikost
- 320.58 KB
- Format
- application/zip
- Opis
- balanced opinion corpus
- MD5
- 889db73945acd790ddb2dfb4235e920d
- klxSAcorpus_20160224_1001bal
- klxSAcorpus_20160224_1001bal.xml1 MB
- readme.txt1 kB
- annotatedData.xsd7 kB
- Ime
- JTDH-2016_Kadunc_Robnik-Sikonja_Analiza-mnenj-s-pomocjo-strojnega-ucenja.pdf
- Velikost
- 886.08 KB
- Format
- Opis
- Kadunc & Robnik-Šikonja, 2016
- MD5
- 7da35d9a76c948938352ecca241f16be
- Ime
- UL_FRI_diploma_2016-KLEMEN_KADUNC-Dolocanje_sentimenta_slovenskim_spletnim_komentarjem_s_pomocjo_strojnega_ucenja.pdf
- Velikost
- 3.62 MB
- Format
- Opis
- Kadunc, 2016, BSc thesis
- MD5
- c574dd44fa4fcddd8a7a8491013ba59c