Twitter sentiment for 15 European languages

Mozetič, Igor; Grčar, Miha; Smailović, Jasmina

Twitter sentiment for 15 European languages

CLARIN.SI data & tools

Avtorji: Mozetič, Igor ; Grčar, Miha and Smailović, Jasmina

Identifikator vnosa: http://hdl.handle.net/11356/1054

Dokumentirano v: https://dx.doi.org/10.1371/journal.pone.0155036
https://dx.doi.org/10.1371/journal.pone.0194317

Datum objave: 2016-02-23

Vrsta: corpus, text

Velikost: 1643735 items

Jezik(i): Albanian , Bosnian , Bulgarian , Croatian , English , German , Hungarian , Polish , Portuguese , Russian , Serbian , Slovak , Slovenian , Spanish , Swedish

Opis: The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate Twitter sentiment classifiers, to compute annotator agreement, or to study the differences between language usage on Twitter. The data analysis is described in the following papers: I. Mozetič, M. Grčar, J. Smailović. Multilingual Twitter sentiment classification: The role of human annotators, PLoS ONE 11(5): e0155036, doi: 10.1371/journal.pone.e0155036, 2016. (http://dx.doi.org/10.1371/journal.pone.0155036) I. Mozetič, L. Torgo, V. Cerqueira, J. Smailović. How to evaluate sentiment classifiers for Twitter time-ordered data?, PLoS ONE 13(3): e0194317, doi: 10.1371/journal.pone.0194317, 2018. (https://dx.doi.org/10.1371/journal.pone.0194317)

Izdajatelj: Jožef Stefan Institute

Ključne besede: sentiment classification Twitter inter-annotator agreement annotator self-agreement multilingual

Zbirke: CLARIN.SI data & tools

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Datoteke v tem vnosu

Prenesi vse datoteke v vnosu (49.38 MB)

To je vnos

Publicly Available

z licenco:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

Ime: README.txt
Velikost: 665 bajtov
Format: Besedilna datoteka
Opis: Unknown
MD5: 8b2d34f643b73d8a44557dc8d2ba6d2f

Prenesi datoteko Predogled

Predogled datoteke

There are 15 files for the corresponding 15 European languages:
Albanian, Bosnian, Bulgarian, Croatian, English, German, Hungarian,
Polish, Portuguese, Russian, Serbian, Slovak, Slovenian, Spanish, and Swedish.

Files are in the standard csv format, each line has the following form:
TweetID,HandLabel,AnnotatorID

TweetID is assigned by Twitter and can be used to retreive the tweet.
HandLabel is the sentimen label as assigned by the human annotator
(Negative, Neutral, or Positive).
AnnotatorID is a 3-digit integer assigned to anonymous annotators,
and can be used to identify tweets annotated several times by the
same or by different annotators. . . .