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, Natural Language Engineering, doi: 10.1017/S1351324916000036 The paper describes a system that extracts future referring time expressions and entities from Twitter messages, and subsequently detects events as a pair of a date and entity the are often mentioned in the same tweet. This dataset features the ids of a large set of Dutch tweets posted in August 2014, which was used as input to the system, as well as the time expression and / or entity that was extracted from each tweet, if any. Furthermore, the detected events are included, represented as a date, one or m...
The online social networks have experienced an unprecedented proliferation. Various platforms change...
9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2017 : Syd...
This dataset contains daily tweets ids during April 2013. This is provided to facilitate reproducibi...
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 ...
Item does not contain fulltextThis directory features data that is discussed in the paper: F. Kunnem...
Item does not contain fulltextThis dataset features information on all the events that were automati...
Item does not contain fulltextThis dataset features the training models, emotion classifications and...
Item does not contain fulltextThis dataset features all the tweetids and labels that were used to mo...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
Despite the popularity of Twitter for research, there are very few publicly available corpora, and t...
<p>This dataset consists on 5234 news events obtained from Twitter.</p> <p>The file <code>tweets.csv...
This dataset features training and test tweets as well as insights into the classifier model related...
The online social networks have experienced an unprecedented proliferation. Various platforms change...
9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2017 : Syd...
This dataset contains daily tweets ids during April 2013. This is provided to facilitate reproducibi...
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 ...
Item does not contain fulltextThis directory features data that is discussed in the paper: F. Kunnem...
Item does not contain fulltextThis dataset features information on all the events that were automati...
Item does not contain fulltextThis dataset features the training models, emotion classifications and...
Item does not contain fulltextThis dataset features all the tweetids and labels that were used to mo...
This dataset was used in the manuscript "Scaling laws and dynamics of hashtags on Twitter".. The Tw...
Despite the popularity of Twitter for research, there are very few publicly available corpora, and t...
<p>This dataset consists on 5234 news events obtained from Twitter.</p> <p>The file <code>tweets.csv...
This dataset features training and test tweets as well as insights into the classifier model related...
The online social networks have experienced an unprecedented proliferation. Various platforms change...
9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2017 : Syd...
This dataset contains daily tweets ids during April 2013. This is provided to facilitate reproducibi...