DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jaewoo | ko |
dc.contributor.author | Cha, Meeyoung | ko |
dc.contributor.author | Lee, Won Jae | ko |
dc.contributor.author | Sandholm, Thomas | ko |
dc.date.accessioned | 2016-04-20T07:03:55Z | - |
dc.date.available | 2016-04-20T07:03:55Z | - |
dc.date.created | 2015-03-19 | - |
dc.date.created | 2015-03-19 | - |
dc.date.created | 2015-03-19 | - |
dc.date.issued | 2014-06 | - |
dc.identifier.citation | TELECOMMUNICATIONS REVIEW, v.24, no.3, pp.339 - 347 | - |
dc.identifier.issn | 1226-5586 | - |
dc.identifier.uri | http://hdl.handle.net/10203/205669 | - |
dc.description.abstract | Social media’s big data can be used to infer real-time sentiments of people about notable events, topics, and places. The goal of this paper is to use social media data for route navigation, a popular everyday application. Whereas existing navigation systems are optimized for the shortest distance or the fastest time, social media sentiments can be used to explore a new dimension such as safety and happiness. We propose a system called SocRoutes that aims to find a safer, friendlier, and more enjoyable route based on sentiments inferred from real-time, geo-tagged messages from Twitter. SocRoutes tailors routes by avoiding places with extremely negative sentiments, thereby potentially avoiding crime-prone areas at a marginal cost in total distance compared to the shortest path. The system supports three types of traveling modes: walking, bicycling, and driving. Based on the real crime-history data published by the City of Chicago Data Portal, we demonstrate a significant correlation between regional Twitter sentiments and crime rates and that SocRoutes can successfully avoid crime hotspots by using social media sentiments. | - |
dc.language | Korean | - |
dc.publisher | SK텔레콤 | - |
dc.title | Identifying Crime-prone Areas Based on Tweet Sentiments | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 24 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 339 | - |
dc.citation.endingpage | 347 | - |
dc.citation.publicationname | TELECOMMUNICATIONS REVIEW | - |
dc.identifier.kciid | ART001888181 | - |
dc.contributor.localauthor | Cha, Meeyoung | - |
dc.contributor.localauthor | Lee, Won Jae | - |
dc.contributor.nonIdAuthor | Sandholm, Thomas | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Online social network | - |
dc.subject.keywordAuthor | - | |
dc.subject.keywordAuthor | Sentiment analysis | - |
dc.subject.keywordAuthor | Safe route | - |
dc.subject.keywordAuthor | Navigation system | - |
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