Pregled bibliografske jedinice broj: 713092
TweetCaT: a tool for building Twitter corpora of smaller languages
TweetCaT: a tool for building Twitter corpora of smaller languages // Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Reykjavík, Island: European Language Resources Association (ELRA), 2014. (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 713092 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
TweetCaT: a tool for building Twitter corpora of smaller languages
Autori
Ljubešić, Nikola ; Fišer, Darja ; Erjavec, Tomaž
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
/ - : European Language Resources Association (ELRA), 2014
ISBN
978-2-9517408-8-4
Skup
Language Resources and Evaluation Conference
Mjesto i datum
Reykjavík, Island, 25.05.2014. - 31.05.2014
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Twitter; small languages; corpus creation
Sažetak
This paper presents TweetCaT, an open-source Python tool for building Twitter corpora that was designed for smaller languages. Using the Twitter search API and a set of seed terms, the tool identifies users tweeting in the language of interest together with their friends and followers. By running the tool for 235 days we tested it on the task of collecting two monitor corpora, one for Croatian and Serbian and the other for Slovene, thus also creating new and valuable resources for these languages. A post-processing step on the collected corpus is also described, which filters out users that tweet predominantly in a foreign language thus further cleans the collected corpora. Finally, an experiment on discriminating between Croatian and Serbian Twitter users is reported.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
