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

    Publication series

    NameMobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

    Other

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

    Bibliographical note

    Funding Information:
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (number 2015R1A2A1A10052665).

    Publisher Copyright:
    © 2017 Copyright held by the owner/author(s).

    ASJC Scopus subject areas

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

    Fingerprint

    Dive into the research topics of 'Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence'. Together they form a unique fingerprint.

    Cite this