Twitter sentiment for 15 European languages

Mozetič, Igor; Grčar, Miha; Smailović, Jasmina

Twitter sentiment for 15 European languages

CLARIN.SI data & tools

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

Item identifier: http://hdl.handle.net/11356/1054

Referenced by: https://dx.doi.org/10.1371/journal.pone.0155036
https://dx.doi.org/10.1371/journal.pone.0194317

Date issued: 2016-02-23

Type: corpus, text

Size: 1643735 items

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

Description: 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)

Publisher: Jožef Stefan Institute

Subject(s): sentiment classification Twitter inter-annotator agreement annotator self-agreement multilingual

Collection(s): CLARIN.SI data & tools

Show full item record

Files in this item

Download all files in item (49.38 MB)

This item is

Publicly Available

and licensed under:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

Name: README.txt
Size: 665 bytes
Format: Text file
Description: Unknown
MD5: 8b2d34f643b73d8a44557dc8d2ba6d2f

Download file Preview

File Preview

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. . . .