53 datasets found

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,...

The corpus contains over 4.5 million tweets (tweet IDs) automatically labeled by a machine learning program with stance regarding Brexit: Positive (supporting Brexit), Negative...

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),...

The Dictionary of Twitterese 1.0 is the first attempt at a lexicographic description of non-standard Slovene as found on Twitter. Version 1.0 contains 1,002 entries, of which...

The dataset represents the Twitter production in Slovenian in the period from 2018 until 2020. It consists of tweet IDs, retweet IDs, pseudo-anonymized user IDs, publication...

The resource consists of two datasets related to Members of the 8th European Parliament (MEPs). The first one is a dataset of 2,535 roll-call votes of MEPs until 2016-03-01. The...

The corpus contains 668,529 tweets (tweet IDs) relevant to "impact investing", accompanied by sentiment labels given by an automated sentiment classifier. Impact investing...

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...

A hand-labeled training (50,000 tweets labeled twice) and evaluation set (10,000 tweets labeled twice) for hate speech on Slovenian Twitter. The data files contain tweet IDs,...

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...

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....

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...