Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence

Hyunwoong Bang, Hyunsub Kim, Sang-Geun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an entirely novel concept of retrieving social media data, called sigSocial. It integrates social media data of various sources, using a semantic classifier. Nowadays, people use multiple social media simultaneously, acquiring information with ease. However, accessing numerous services to reach different channels is bothersome. Also, the volume of information one can process is limited. Our aim is to reduce this burden, providing easiness and efficiency. In other words, we attempt to build a single service that integrates information from various platforms. The application has three main features. First, it enables users to explore multiple social media without accessing them separately. Second, it organizes information retrieved from social medias into well-defined classes. Finally, it works as a stand-alone application, the mechanism of which is internal to the device, not relying on any external servers or networks. This method respects user privacy, which has recently gained much attention.

Original languageEnglish
Title of host publicationMobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
PublisherAssociation for Computing Machinery, Inc
Pages184
Number of pages1
ISBN (Electronic)9781450349284
DOIs
Publication statusPublished - 2017 Jun 16
Event15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017 - Niagara Falls, United States
Duration: 2017 Jun 192017 Jun 23

Other

Other15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017
CountryUnited States
CityNiagara Falls
Period17/6/1917/6/23

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Agglomeration
Classifiers
Servers
Semantics

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

Cite this

Bang, H., Kim, H., & Lee, S-G. (2017). Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence. In MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services (pp. 184). Association for Computing Machinery, Inc. https://doi.org/10.1145/3081333.3089329

Demo : SigSocial: A novel social media aggregation service using a tiny text intelligence. / Bang, Hyunwoong; Kim, Hyunsub; Lee, Sang-Geun.

MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, 2017. p. 184.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bang, H, Kim, H & Lee, S-G 2017, Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence. in MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, pp. 184, 15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017, Niagara Falls, United States, 17/6/19. https://doi.org/10.1145/3081333.3089329
Bang H, Kim H, Lee S-G. Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence. In MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc. 2017. p. 184 https://doi.org/10.1145/3081333.3089329
Bang, Hyunwoong ; Kim, Hyunsub ; Lee, Sang-Geun. / Demo : SigSocial: A novel social media aggregation service using a tiny text intelligence. MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, 2017. pp. 184
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