50 datasets found

The dataset contains social media posts from X and traditional media articles from online news sources related to the Slovenian commemorations of the Day of Resistance. We used...

Namen raziskave je bil s pomočjo analize omrežij preučiti strukturo slovenske politične razprave na Twitterju pred volitvami v Evropski parlament leta 2019, pri čemer je bil...

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 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...

Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their...

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 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,...

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 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 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 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 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 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,...

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....