33 datasets found

The dataset contains an excel file with the analysis of the impact of different digital newspapers on twitter. The file includes different sheets in which one can find an...

Llistat dels tweets analitzats en la recerca de l'article "La toxicidad de la política española en Twitter durante la pandemia de la COVID-19" que es publica a la revista...

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

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,...

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 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 the training models, emotion classifications and emotion patterns before and after events, related to the paper: F. Kunneman, M. van Mulken and A. Van den...

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...

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

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,...

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...

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...

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)....

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...

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

This data set contains the IDs of the 1,186,322 tweets used in "Climate Nags: Affect and the Convergence of Global Risk in Online Networks" (published in Continuum, 2023). The...

Janes-Preklop is a corpus of Slovene tweets that is manually annotated for code-switching (the use of words from two or more languages within one sentence or utterance),...

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...

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...