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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/110585
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/110585

    Title: Social Sensor: an Analysis Tool for Social Media
    Authors: 李蔡彥
    Wu, Chun-Hsiao;Li, Tsai-Yen
    Contributors: 資科系
    Keywords: Social Sensor;Social Media;Data Science;Big Data Analysis;Automated Analysis
    Date: 2016-01
    Issue Date: 2017-06-29 09:45:30 (UTC+8)
    Abstract: In this research, we propose a new concept for social media analysis called Social Sensor, which is an innovative design attempting to transform the concept of a physical sensor in the real world into the world of social media with three design features: manageability, modularity, and reusability. The system is a case-centered design that allows analysts to select the type of social media (such as Twitter), the target data sets, and appropriate social sensors for analysis. By adopting parameter templates, one can quickly apply the experience of other experts at the beginning of a new case or even create one’s own templates. We have also modularized the analysis tools into two social sensors: Language Sensor and Text Sensor. A user evaluation was conducted and the results showed that usefulness, modularity, reusability, and manageability of the system were all very positive. The results also show that this tool can greatly reduce the time needed to perform data analysis, solve the problems encountered in traditional analysis process, and obtained useful results. The experimental results reveal that the concept of social sensor and the proposed system design are useful for big data analysis of social media.
    Relation: International Journal of Electronic Commerce Studies, 7(1), 77-94
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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