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. Kunneman and A. Van den Bosch (2015), Automatically identifying periodic social events from Twitter, Proceedings of the RANLP 2015 (pp. 320-328), http://hdl.handle.net/2066/143994 The paper describes approaches to identifying periodic events in Twitter. This dataset contains the output of these approaches, as well as a human assessment of the quality of a selection of the output. Apart from information on all the events, tweet ids are shared that can be used to query the tweets and all their meta-data from Twitter
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...
Social media provides researchers with continuously updated information about developments of intere...
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...
This dataset features information on all the events that were automatically extracted from Twitter a...
Many events referred to on Twitter are of a periodic nature, characterized by roughly constant time ...
Input data and output of research conducted in the study described in the paper: F. Kunneman and A....
This dataset features the output of intermediate steps and the final output of the research that is ...
This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdi...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
This research examines the possibility of detecting events using very basic statistical tools. We pe...
ABSTRACT We perform a temporal analysis of the Twitter stream to investigate the evolution of unique...
This dataset features the training models, emotion classifications and emotion patterns before and a...
Containing tweet details of messages posted in Twitter related to diverse topics. These can be mined...
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...
Social media provides researchers with continuously updated information about developments of intere...
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...
This dataset features information on all the events that were automatically extracted from Twitter a...
Many events referred to on Twitter are of a periodic nature, characterized by roughly constant time ...
Input data and output of research conducted in the study described in the paper: F. Kunneman and A....
This dataset features the output of intermediate steps and the final output of the research that is ...
This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdi...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
This research examines the possibility of detecting events using very basic statistical tools. We pe...
ABSTRACT We perform a temporal analysis of the Twitter stream to investigate the evolution of unique...
This dataset features the training models, emotion classifications and emotion patterns before and a...
Containing tweet details of messages posted in Twitter related to diverse topics. These can be mined...
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...
Social media provides researchers with continuously updated information about developments of intere...
International audienceThe ever-growing number of people using Twitter makes it a valuable source of ...