Abstract
Safapp is a tool that crawls and analyses data from social media (specially Twitter and blogs) in the context of radicalization detection. This app has been developed in the context of SAFFRON European project. This paper focuses on the description of the semantic module of Safapp which is dedicated to the analysis of textual content of social networks and blogs, and more specifically on a newly developed module: the event extractor. With this module we expect to go one step further in the development of useful tools to track and analyze online propaganda.


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MUC: Message understanding conferences (MUC) initiated and financed by DARPA (Defense Advanced Research Projects Agency) to encourage the development of new and better methods of information extraction. The MUC-4 topic was Terrorist activities in Latin America (Source: Wikipedia).
Synonyms extracted from Wordnet.
We first focus on events extracted from blogs because they tend to be more complete in terms of observed arguments. Although some events can be found in Twitter, they present normally very few arguments.
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Derbas, N., Dusserre, E., Padró, M. et al. Eventfully Safapp: hybrid approach to event detection for social media mining. J Ambient Intell Human Comput 11, 87–95 (2020). https://doi.org/10.1007/s12652-018-1078-7
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DOI: https://doi.org/10.1007/s12652-018-1078-7