Twitter corpus Janes-Tweet 1.0

  Avtorji

Ljubešić, Nikola ; Erjavec, Tomaž and Fišer, Darja

  Identifikator vnosa

http://hdl.handle.net/11356/1142

 URL projekta

https://nl.ijs.si/janes/

 Dokumentirano v

https://revije.ff.uni-lj.si/slovenscina2/article/view/7003
https://nl.ijs.si/janes/viri/avtomatsko-oznaceni-korpusi/#Janes-Tweet
https://doi.org/10.1007/s10579-018-9425-z

 Datum objave

2017-09-05

 Vrsta

corpus, text

 Velikost

9877648 texts, 139299220 tokens

 Jezik(i)

Slovenian

 Opis

Janes-Tweet is an annotated corpus of almost 10 million tweets posted from 2013-06 to 2017-06 by approx. 9,000 users that tweet mostly in Slovene. The corpus is structured into individual tweets, together with their metadata. The tweets in the corpus are tokenised, sentence segmented, word normalised, morphosyntactically tagged, lemmatised and annotated with named entities. Due to Twitter terms-of-service, the corpus is distributed in an encoded version. The included tweetpub program (also available and documented on https://github.com/clarinsi/tweetpub) should be used to decode it, which it does by fetching the original tweets and applying a diff operation on the distributed corpus. Note that the retrieved corpus can have fewer tweets than the distributed version if some have been removed from Twitter by their authors in the meantime.

 Izdajatelj

Jožef Stefan Institute

 Zahvala

ARRS (Slovenian Research Agency) J6-6842 "JANES: Resources, Tools and Methods for the Research of Nonstandard Internet Slovene"

ARRS (Slovenian Research Agency) P2-103 "Knowledge Technologies"

 Ključne besede

computer-mediated communication Twitter word normalisation named entities

 Zbirke

CLARIN.SI data & tools

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