EVENT DETECTION

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dc.contributor.advisorDr. Shahnewaz Siddique
dc.contributor.authorMd. Alamin Hossain
dc.contributor.authorBibi Aysha
dc.contributor.authorMd. Mehedi Hasan
dc.contributor.id1821570042
dc.contributor.id1822162642
dc.contributor.id1811145042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-12-17
dc.date.accessioned2025-12-17T08:32:50Z
dc.date.available2025-12-17T08:32:50Z
dc.date.issued2022-12-30
dc.description.abstractToday people are not so careful about their life. so we know that awareness is the key error in anyone’s life. But in the modern world, we clearly see that people are not so aware. That's why many kinds of incidents happen in people's lives. The events mentioned on social networks are related to topics, locations, and time periods. The events are a range, like celebrities or dogmas, native social events, accidents, protests, or natural disasters. Messages square measure denoted by users once they need knowledge about or witnessed the events happening within the real world and that they need to share their experiences now. individuals conjointly categorical themselves ad libitum with reference to the social events in their social networks. Instead, policy-makers might want to grasp the emotions of users for a selected event to create knowing choices. With the increasing variety of real-world events that square measure originated and mentioned over social networks, event detection, and pursuit is changing into a compelling analysis issue.
dc.description.degreeUndergraduate
dc.identifier.cd600000288
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1539
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleEVENT DETECTION
dc.typeProject
oaire.citation.endPage58
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