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DTSTART:20241205T150000Z
DTEND:20241205T160000Z
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SUMMARY:Hettiarachchi - Temporal word dynamics for online event detection in social media streams
DESCRIPTION:\n\nIn today's digital era\, social media have become primary 
 platforms for disseminating newsworthy content\, with most internet users 
 relying on them for regular updates. Thus\, understanding and detecting 
 important events from social media data streams is vital for various 
 applications ranging from crisis management to market analysis. However\, 
 the vast volume and unstructured nature of this data\, generated by a 
 diverse range of users\, make manual detection methods highly 
 labour-intensive. As a result\, automated intelligent mechanisms have 
 become essential for efficiently handling event detection tasks. However\, 
 most available social media event detection approaches primarily rely on 
 data statistics\, ignoring semantics\, making them vulnerable to critical 
 information loss. Following this gap\, this presentation will explore how 
 temporal word dynamics can be involved in achieving effective event 
 detection from social media data.\n\n
LOCATION:Bowland North SR02\, Talk / Public Lecture
ORGANIZER;CN="Claire Hardaker":MAILTO:c.hardaker@lancaster.ac.uk
CATEGORIES:Events - Campus and Community Life, Events - Doctoral Academy, Events - Staff Channel, Events - Student Channel, Library Channel, Web - Embrace Digital Staff, Web - Embrace Digital Students
CONTACT;CN="Claire Hardaker":MAILTO:c.hardaker@lancaster.ac.uk
STATUS:CONFIRMED
UID:LibCal-4300280
URL:https://lancaster-uk.libcal.com/calendar/factor/hansi
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