A trajectory analysis system for social media contents using AsterixDB
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, S. | - |
dc.contributor.author | Park, T. | - |
dc.contributor.author | Song, J. | - |
dc.contributor.author | Jeong, O. | - |
dc.date.available | 2020-02-27T20:42:08Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6634 | - |
dc.description.abstract | Social media analysis has become a major issue not only for marketing and business, but also in a wide variety of other fields such as catastrophes and politics. Social media contents that are created in real-time by users contain elements related to time and location, and by analyzing this, it is possible to make predictions through trajectory analysis by extracting the trajectory in which the contents are spread out. In this study, we use AsterixDB that reflects the features for processing large quantities of social media contents in real-time to analyze social media contents, and propose a trajectory analysis system that extracts keyword trajectories to verify its effectiveness through experiment. © 2017 ACM. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.relation.isPartOf | Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 | - |
dc.subject | Information management | - |
dc.subject | Trajectories | - |
dc.subject | AsterixDB | - |
dc.subject | Real time | - |
dc.subject | Social media | - |
dc.subject | Social media analysis | - |
dc.subject | Spread outs | - |
dc.subject | Trajectory analysis | - |
dc.subject | Social networking (online) | - |
dc.title | A trajectory analysis system for social media contents using AsterixDB | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1145/3022227.3022272 | - |
dc.identifier.bibliographicCitation | Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 | - |
dc.identifier.scopusid | 2-s2.0-85015201809 | - |
dc.citation.title | Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 | - |
dc.contributor.affiliatedAuthor | Yoo, S. | - |
dc.contributor.affiliatedAuthor | Park, T. | - |
dc.contributor.affiliatedAuthor | Song, J. | - |
dc.contributor.affiliatedAuthor | Jeong, O. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | AsterixDB | - |
dc.subject.keywordAuthor | Keyword trajectory | - |
dc.subject.keywordAuthor | Social media analysis | - |
dc.subject.keywordAuthor | Social media contents | - |
dc.subject.keywordAuthor | Trajectory analysis system | - |
dc.subject.keywordPlus | Information management | - |
dc.subject.keywordPlus | Trajectories | - |
dc.subject.keywordPlus | AsterixDB | - |
dc.subject.keywordPlus | Real time | - |
dc.subject.keywordPlus | Social media | - |
dc.subject.keywordPlus | Social media analysis | - |
dc.subject.keywordPlus | Spread outs | - |
dc.subject.keywordPlus | Trajectory analysis | - |
dc.subject.keywordPlus | Social networking (online) | - |
dc.description.journalRegisteredClass | scopus | - |
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