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Social Media Big Data Approach to Emotional Intelligence

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dc.contributor.advisor Lee, Jeongkyu
dc.contributor.author Adebayo, Olumide
dc.date.accessioned 2017-04-03T17:52:01Z
dc.date.available 2017-04-03T17:52:01Z
dc.date.issued 2017-03-24
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1871
dc.description.abstract This paper aims to research the possibility of detecting regional sentiment by analyzing Social Media Big Data (SMBD). It can be said that the vast majority of people with some form of internet access participate in one Social Media platform or the other. The importance of the insight derivable from SMBD cannot be overemphasized. Many theories have been postulated that show that human emotion is extremely powerful and drives our thought process. Noting that our communication is driven by our thoughts makes social media data a huge wealth of information from which an average regional sentiment analysis can be deduced. This sentimental knowledge becomes a valuable tool in policing (security) and marketing (commerce). en_US
dc.language.iso en_US en_US
dc.subject Big data en_US
dc.subject Data analysis en_US
dc.subject Emotional intelligence en_US
dc.subject Social media en_US
dc.title Social Media Big Data Approach to Emotional Intelligence en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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