52 datasets found

This dataset features information on all the events that were automatically extracted from Twitter and used as input to periodicity detection, as described in the paper: F....

Software for corpus linguists and text/data mining enthusiasts. The CorpusExplorer combines over 45 interactive visualizations under a user-friendly interface. Routine tasks...

Twitter data corpus from, on the one hand, French-speaking Belgian political accounts and, on the other hand, a sample of accounts from the French-speaking Belgian population....

This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.

The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum...

Pre-trained POS tagging models for the HunPos tagger (Halácsy et al. 2007) the biLSTM-char-CRF tagger (Reimers & Gurevych 2017) Online-Flors (Yin et al. 2015)....

With the increasing relevance of ethnic groups as political actors, the literature has attempted to identify and study the ethnic organizations representing these groups. How do...

The research project SPARTA (Society, Politics and Risk with Twitter Analysis; funded by dtec.bw; dtec.bw is funded by the European Union - NextGenerationEU) collected tweets to...

Input data and output of research conducted in the study described in the paper: F. Kunneman and A. Van den Bosch (2016), Open-domain extraction of future events from Twitter,...

We research the use of sarcasm on Twitter, and show that a computer has more difficulty to detect sarcasm shared among peers than sarcasm shared with any interested audience....

This dataset features the output of intermediate steps and the final output of the research that is described in the paper: F. Kunneman and A. Van den Bosch (2014), Event...

This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdijk and A. Van den Bosch (2014), Timely identification of event start dates...

This dataset features all the tweetids and labels that were used to model the language of 24 hashtags, and test the performance on predicting the hashtags in unseen tweets. This...

This dataset features training and test tweets as well as insights into the classifier model related to the paper: Kunneman, F.A., Liebrecht, C.C., Mulken, M.J.P. van & Bosch,...

Aineisto perustuu Twitteriä työssään käyttäville diplomaateille suunnattuun kyselyyn. Kyselyyn vastasi 108 islantilaista, ruotsalaista, suomalaista, tanskalaista ja virolaista...

The Twitter-HBS dataset consists of Twitter users, their tweets, and the label of their predominantly used language - Bosnian, Croatian, Montenegrin, or Serbian. Among the...

Janes-Vejica is a corpus of Slovene tweets where commas are annotated with the reason for their (in)correct use, according to the supplied typology. The corpus was sampled from...

Janes-Kratko is a corpus of Slovene tweets manually annotated with shortening phenomena according to the supplied typology covering different types of spelling, lexical and...

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 xLiMe Twitter Corpus contains tweets in German, Italian and Spanish manually annotated with part-of-speech, named entities, and message-level sentiment polarity. In total,...