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研究生:許蕙欣
研究生(外文):HSU, HUI-HSIN
論文名稱:從群體討論中自動辨識意見領袖
論文名稱(外文):Automatically Recognizing Opinion Leaders from Group Discussion
指導教授:陳伶志陳伶志引用關係
指導教授(外文):Chen, Ling-Jyh
學位類別:碩士
校院名稱:國立臺灣師範大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:105
語文別:中文
論文頁數:39
中文關鍵詞:口碑傳播影響力意見領袖情緒辨識群體討論
外文關鍵詞:word-of-mouth communicationinfluenceopinion leaderemotion recognitiongroup discussion
相關次數:
  • 被引用被引用:0
  • 點閱點閱:247
  • 評分評分:
  • 下載下載:19
  • 收藏至我的研究室書目清單書目收藏:0
口碑傳播在市場行銷中是一種相當重要的方式,由於人們通常更加相信自己信賴的人,因此若是由被信賴的人來推薦產品則會更有影響力,不僅能提高產品的信賴度,同時也提高了行銷的效益,而我們稱這些被信賴的人為意見領袖。
這篇論文中,我們提出了一個結合對話時間及情緒的綜合分析,辨識意見領袖的方法,此方法中對話時間的部分,是藉由計算每位成員發言的比例,情緒辨識的部分,我們不需了解成員中彼此的對話內容,而是透過語音特徵來辨別對話時的情緒,藉此計算出發言中富含情緒的比例。經由進行十組實際群體討論的實驗,透過三位公正的第三者觀察並由這三位觀察者判定群體中的意見領袖,最後結果顯示我們辨識意見領袖的方法正確率達73%,因此可以證明我們的辨識方法是有效的。除此之外,我們的辨識方法簡單、有效,並且因使用語音特徵分析情緒,而非辨識對話內容,因此可望跨語言的使用。
摘要 I
目錄 II
圖目錄 III
表目錄 IV
第一章 緒論 1
第二章 相關研究 5
2.1 口碑傳播 5
2.2 情緒辨識 7
第三章 方法 10
3.1 方法流程 10
3.2 對話時間及對話情緒分析 11
3.3 影響力分析 13
第四章 實驗及分析 15
4.1 建立語音情緒模組-單一資料庫測試 15
4.2 建立語音情緒模組-跨資料庫測試 21
4.3 意見領袖實驗 23
第五章 結論及未來 31
參考文獻 33
附錄A 36
附錄B 39
[1] K. K. Chan and S. Misra, “Characteristics of the Opinion Leader: A New Dimension,” Journal of Advertising, Vol. 19, No. 3, pp. 53-60, 1990.
[2] S. Zhang, J. Jia, Y. Xu and L. Cai, “Emotional Talking Agent: System and Evaluation,” International Conference on Natural Computation, 2010.
[3] L. W. Chew, K. P. Seng, L. M. Ang, V. Ramakonar and A. Gnanasegaran, “Audio-Emotion Recognition System using Parallel Classifiers and Audio Feature Analyzer,” International Conference on Computational Intelligence, Modelling and Simulation, 2011.
[4] J. Zhou, G. Wang, Y. Yang and P. Chen, “Speech Emotion Recognition Based on Rough Set and SVM,” IEEE International Conference on Cognitive Informatics, 2006.
[5] M. E. Ayadi, M. S. Kamel and F. Karray, “Survey on speech emotion recognition: Features, classification schemes,and databases,” Journal Pattern Recognition, Vol. 44, Issue 3, pp. 572-587, 2011.
[6] Y. Pan, P. Shen and L. Shen, “Speech Emotion Recognition Using Support Vector Machine,” Journal of Smart Home, Vol. 6, No. 2, pp. 101-108, 2012.
[7] F. Eyben, M. Wöllmer and B. Schuller, “openSMILE – The Munich Versatile and Fast Open-Source Audio Feature Extractor,” ACM international conference on Multimedia, 2010.
[8] F. Burkhardt, A. Paeschke, M. Rolfes, W.Sendlmeier and B. Weiss, “A Database of German Emotional Speech,” Interspeech, 2005.
[9] D. Ververidis, C. Kotropouand and I. Pitas, “Automatic Emotional Speech Classification,” IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
[10] R.Cowie, “Describing the Emotional States Expressed in Speech,” International Speech Communication Association, 2000.
[11] F. Dellaert, T. Polzin and A. Waibel, “Recognizing Emotion in Speech,” International Conference on Spoken Language Processing, 1996.
[12] L. G. Corey, “People Who Claim to Be Opinion Leaders: Identifying their Characteristics By Self-Report,” Journal of Marketing, Vol. 35, No. 4, pp. 48-53, 1971.
[13] J. Jacoby, “The Construct Validity of Opinion Leadership,” Public Opinion Quarterly, 1974.
[14] Z. Li and Z. Ding, “Exploring Cyber Opinion Leaders Based on Social Network Analysis: Sampling College Student Employment Public Opinion,” International Conference on Computer Science and Information Technology, 2011.
[15] C. W. King and J. O. Summers, “Overlap of Opinion Leadership across Consumer Product Categories,” Journal of Marketing Research, Vol. 7, No. 1, pp. 43-50, 1970.
[16] J. R. Mancuso, “Why not Create Opionion Leaders for New Product Introductions?,” Journal of Marketing, Vol. 33, No. 3, pp. 20-25, 1969.
[17] G. Weimann, “The Influentials: People Who Influence People, New York, NY: State University of New York Press,” 1994.
[18] J. O. Summers, “The Identity of Women's Clothing Fashion Opinion Leaders,” Journal of Marketing Research, Vol. 7, No. 2, pp. 178-185, 1970.
[19] E. Vernette, “Targeting Women's Clothing Fashion Opinion Leaders in Media Planning: An Application for Magazines,” Journal of Advertising Research, Vol. 44, No. 1, pp. 90-107, 2004.
[20] J. Yu, “Notice of Retraction Typology and influence analysis of opinion leader: A case study on fashion online shopping,” International Conference on E -Business and E -Government, 2011.
[21] R. Cowie, E. D. Cowie, B. Apolloni, J. Taylor, A. Romano and W Fellenz, “What a neural net needs to know about emotion words,“ Computational Intelligence and Applications, 1999.
[22] L. Jing and X. Lizhen, “Identification of Microblog Opinion Leader Based on User Feature and Interaction Network,” Web Information System and Application Conference, 2014.
[23] R. Dabarera, C. Gables, K. Premaratne, M. N. Murthi and D. Sarkar, “Back to Results Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence,” IEEE Transactions on Signal and Information Processing over Networks, 2016.
[24] K. E. Ko, K. B. Sim, “Development of a Facial Emotion Recognition Method Based on Combining AAM with DBN,” International Conference on Cyberworlds, 2010.
[25] J. H. Myers and T. S. Robertson, “Dimensions of Opinion Leadership,” Journal of Marketing Research, Vol. 9, No. 1, pp. 41-46, 1972.
[26] X. Lin and W. Han, “Opinion Leaders Discovering in Social Networks Based on Complex Network and DBSCAN Cluster,” International Symposium on Distributed Computing and Applications for Business Engineering and Science, 2015.
[27] Z. Zhai, H. Xu and P. Jia, “Identifying opinion leaders in BBS,” ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008.
[28] X. Yu, X. Wei and X. Lin, “Algorithms of BBS Opinion Leader Mining Based on Sentiment Analysis,” International Conference on Web Information Systems and
Mining, 2010.
[29] Y. Hong, “Analyzing Network BBS Opinion Leaders Model” Journalism and Communication, Vol. 15, No. 2, pp. 66-75, 2006.
[30] C. Lee, S. Narayanan and R. Pieraccini, “Classifying emotions in human–machine spoken dialogs,” IEEE International Conference on Multimedia and Expo, 2002.
[31] B. Schuller, G. Rigoll and M. Lang, “Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture,” International Conference on Acoustics, Speech, and Signal Processing, 2004.
[32] Y. Zhao and G. Kou, “Opinion evolution of a social group with extreme opinion leaders,” International Conference on Computers Communications and Control, 2016.
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