Social Media and Online News Analytics for Identifying Crime Patterns in Crime Prediction

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dc.contributor.authorSandagiri, S.P.C.W.
dc.contributor.authorKumara, B.T.G.S.
dc.contributor.authorBanujan, K.
dc.date.accessioned2021-02-01T06:29:23Z
dc.date.available2021-02-01T06:29:23Z
dc.date.issued2020
dc.description.abstractSocial media provides opportunities for users to share their thoughts freely. Every year they generate a large volume of data. In the context of social media, they may include hidden details, which may convey significant events. Crime prediction with the help of Social media provides new dimensions in researches. This research aims to collect data from Twitter posts and validate them using online news to avoid false data. First and foremost, we selected the top crimes happening in the world after an extreme literature review. We used Twitter API and News API to fetch data from Twitter and News blogs. We used two filters to collect data. In the first filter, we fetch Twitter posts and News posts for a specific time duration. These data are fetched by using keywords that relate to crime. In the second filter, eliminate noisy Twitter posts from the collected dataset. We have collected many noisy posts in both sources, i.e. Twitter and News. With the help of collected datasets, we will compare each tweet and news datum and give ratings for comparison data. We can build a crime prediction model with integrating data. The result shows that 68% of collected Twitter posts are excluded after using the second filter. Future development can divide into two main parts. To get more accuracy, we can integrate other factors that affect crime prediction such as weather, human behavior analysis data and we can improve the second filter using the SVM algorithm. Secondly, we can integrate other Social media platforms to fetch data. Keywords: Crime prediction, Social media, Twitter, Newsen_US
dc.identifier.isbn9789550481293
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/5715/proceeding_oct_08-192.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.relation.ispartofseries;International Research Conference
dc.subjectSocial Mediaen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Scienceen_US
dc.subjectComputing and Information Managementen_US
dc.titleSocial Media and Online News Analytics for Identifying Crime Patterns in Crime Predictionen_US
dc.title.alternativeInternational Research Conference 2020en_US
dc.typeOtheren_US
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