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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92809


    Title: Emotion Attention to Friends on Social Networking Services
    Authors: Hsu, Hui-Huang;Chen, Yu-Fan;Lin, Chi-Yi;Hsieh, Cheng-Wei;Shih, Timothy K.
    Contributors: 淡江大學資訊工程學系
    Keywords: Social networks;Emotion analysis;Semantic analysis;Crowdsourcing;Attention index
    Date: 2012-12-01
    Issue Date: 2013-10-23 10:36:16 (UTC+8)
    Publisher: 臺北市:臺灣學術網路管理委員會
    Abstract: Social networking services are an important channel for people to keep in contact nowadays. Through the messages posted by friends, the user is able to know his/ her friends' recent activities, news and emotion status. In this research, we aimed at developing a system that can screen and analyze the messages posted by friends on social networking services to know which friends need instant attention/care. The posts on Facebook Wall of a friend are filtered first to obtain the messages by the friend, excluding the posts by games or other applications. The obtained messages are then classified into one of eight categories, including six emotion categories, special events, and others. The category information of the terms in the messages is then further analyzed for the proposed attention index. After the attention indices of selected friends are decided, they are ranked by the indices. The ones with higher attention indices need the user to show his/her care in a timely manner. We have developed a Facebook application that can display the desired information in a graphical interface.
    Relation: 網際網路技術學刊=Journal of Internet Technology 13(6),頁963-970
    DOI: 10.6138/JIT.2012.13.6.10
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

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