| dc.contributor.author | Kralj Novak, Petra |
| dc.contributor.author | Smailović, Jasmina |
| dc.contributor.author | Sluban, Borut |
| dc.contributor.author | Mozetič, Igor |
| dc.date.accessioned | 2015-09-15T17:38:49Z |
| dc.date.available | 2016-04-14T23:00:09Z |
| dc.date.issued | 2015-09-14 |
| dc.identifier.uri | http://hdl.handle.net/11356/1048 |
| dc.description | A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The process and analysis of emoji sentiment ranking is described in the paper: Kralj Novak P, Smailović J, Sluban B, Mozetič I (2015) Sentiment of Emojis. PLoS ONE 10(12): e0144296. doi:10.1371/journal.pone.0144296 |
| dc.language.iso | eng |
| dc.language.iso | spa |
| dc.language.iso | pol |
| dc.language.iso | rus |
| dc.language.iso | hun |
| dc.language.iso | deu |
| dc.language.iso | swe |
| dc.language.iso | hbs |
| dc.language.iso | slk |
| dc.language.iso | slv |
| dc.language.iso | por |
| dc.language.iso | bul |
| dc.language.iso | sqi |
| dc.publisher | Jožef Stefan Institute |
| dc.relation | info:eu-repo/grantAgreement/EC/FP7/610704 |
| dc.relation | info:eu-repo/grantAgreement/EC/FP7/317532 |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/640772 |
| dc.relation.isreferencedby | https://doi.org/10.1371/journal.pone.0144296 |
| dc.rights | Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ |
| dc.rights.label | PUB |
| dc.subject | sentiment classification |
| dc.subject | emojis |
| dc.subject | Unicode |
| dc.subject | multilingual |
| dc.title | Emoji Sentiment Ranking 1.0 |
| dc.type | lexicalConceptualResource |
| metashare.ResourceInfo#ContentInfo.detailedType | computationalLexicon |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| demo.uri | http://kt.ijs.si/data/Emoji_sentiment_ranking/ |
| contact.person | Igor Mozetic igor.mozetic@ijs.si Jožef Stefan Institute |
| sponsor | ARRS (Slovenian Research Agency) P2-103 Knowledge Technologies nationalFunds |
| sponsor | EC 610704 SIMPOL euFunds info:eu-repo/grantAgreement/EC/FP7/610704 |
| sponsor | EC 317532 MULTIPLEX euFunds info:eu-repo/grantAgreement/EC/FP7/317532 |
| sponsor | EC 640772 DOLFINS euFunds info:eu-repo/grantAgreement/EC/H2020/640772 |
| size.info | 751 entries |
| files.count | 3 |
| files.size | 96209 |
Files in this item
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- Name
- ESR_v1.0_format.txt
- Size
- 783 bytes
- Format
- Text file
- Description
- Format of the tables.
- MD5
- 3c48a549316160e29f185ac840494218
Emoji_Sentiment_Data is used to produce the Emoji_Sentiment_Ranking
web page at http://kt.ijs.si/data/Emoji_sentiment_ranking/ .
The data is in the form of a CSV table, with the following columns:
Emoji character (encoded in UTF-8),
Unicode codepoint,
No. of occurrences [1..max],
Position in tweets [0..1],
No. of occurrences in negative tweets,
No. of occurrences in neutral tweets,
No. of occurrences in positive tweets,
Unicode name,
Unicode block.
Note that the first column, Emoji, is a Unicode character which might
not be properly rendered in all operating systems and client software.
Emojitracker data was fetched from the website http://emojitracker.com/ ,
on June 4, 2015. The data is also in the form of a CSV table,
and contains just the first three columns above. . . .
- Name
- Emoji_Sentiment_Data_v1.0.csv
- Size
- 77.03 KB
- Format
- Unknown
- Description
- CSV table of Emoji Sentiment Ranking
- MD5
- dd9960916aef9ac9411888534d60bc6f
- Name
- Emojitracker_20150604.csv
- Size
- 16.16 KB
- Format
- Unknown
- Description
- CSV table of Emojitracker
- MD5
- c03abdce2fb4623bee1ad40be4912551