University of Twente Student Theses


Detection and tracking of events using open source data

Zwan, J.M. van der (2020) Detection and tracking of events using open source data.

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Abstract:This research focuses on designing a generic event detection system that uses open source data. Good performance is also a requirement to ensure that private individuals are able to use the system as well. The system must be able to detect events in real time based on messages from a message stream. To achieve this goal, we firstly explore what should be considered an event by looking at existing definitions and building our own definition based on observed components. Secondly, an overview is created of which pieces of information can be displayed to the user of the system in order to communicate the event to the user. An event detection system was designed which relies on a user defined reference model supported by Named Entity Recognition. The reference model plays a key part in the linking of keywords with the same meaning and the extraction of meaning from the messages from the message stream. The design was evaluated on both recall and precision using a Twitter datastream as the message stream. Taking into account the limitations of the available data, the design reached a peak recall of 80% and precision of 66%. The design performed sufficiently and still has potential to be improved in future work.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
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