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題名 Social Sensor: an Analysis Tool for Social Media
作者 李蔡彥
Wu, Chun-Hsiao;Li, Tsai-Yen
貢獻者 資科系
關鍵詞 Social Sensor; Social Media; Data Science; Big Data Analysis; Automated Analysis
日期 2016-01
上傳時間 29-Jun-2017 09:45:30 (UTC+8)
摘要 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.
關聯 International Journal of Electronic Commerce Studies, 7(1), 77-94
資料類型 article
dc.contributor 資科系
dc.creator (作者) 李蔡彥zh_TW
dc.creator (作者) Wu, Chun-Hsiao;Li, Tsai-Yen
dc.date (日期) 2016-01
dc.date.accessioned 29-Jun-2017 09:45:30 (UTC+8)-
dc.date.available 29-Jun-2017 09:45:30 (UTC+8)-
dc.date.issued (上傳時間) 29-Jun-2017 09:45:30 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/110585-
dc.description.abstract (摘要) 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.
dc.format.extent 693945 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International Journal of Electronic Commerce Studies, 7(1), 77-94
dc.subject (關鍵詞) Social Sensor; Social Media; Data Science; Big Data Analysis; Automated Analysis
dc.title (題名) Social Sensor: an Analysis Tool for Social Media
dc.type (資料類型) article