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Title: 以字詞共現網絡探勘情歌歌詞中的情感隱喻
Exploring the Affective Metaphor and Their Relations in the Love Songs Lyrics via Word Co-Occurrence Network
Authors: 李岱珊
Li, Tai Shan
Contributors: 劉吉軒

Liu, Ji Hsuan
Wu, Hsiao Mei

Li, Tai Shan
Keywords: 情感運算
affective computing
co-occurrence network
affective metaphor
cognitive psychology,
Date: 2011
Issue Date: 2012-10-30 11:35:03 (UTC+8)
Abstract: 情感運算引領人機互動開創一新的研究發展領域,通過各種能觀測人類情感表達的工具來計算不同表達方式的情感蘊含;另一方面,拜發展急速的網路媒體所賜,大量文字成為線上傳遞訊息便捷又有效率的方式,因此,各類富含情感的文字能夠被搜集成為情感分析運算的語料;而近年來跨領域研究的盛行,促成許多不同學科間的對話,也將各種技術帶入不同的領域知識範疇中,開啟創新研究的可能;有如資訊領域的社會網路分析(Social Network Analysis)技術套用到語言文字的研究上,使得大量語料的分析能夠更快速的達成。

本研究針對英文的情歌歌詞進行字詞共現網絡(Word Co-Occurrence Network)的分析,將字彙之間的概念關聯,和歌詞文本隱喻分析的結果作一比較,以評估字詞共現網絡作為隱喻表達分析工具的潛能,提供不同角度的情感語意探勘方法,作為情感溝通上的一項貢獻。
Affective computing explore a new research field, human different emotional expression could be calculated through types of affection detection tool. On the other hand, “word” as a convenience communication medium through the online media, lead lots of entailment affection word to be the affective computing analysis corpus. Interdisciplinary cooperation researches prevail among different academic field to initiate innovation study. Applying Social Network Analysis (SNA) information technique to semantic research as an example, make the large corpus analysis to be more efficiency.

In this research, Word Co-Occurrence Network was used to explore the specific meaning of the lyrics to observe what the content represent affective concepts in western classical love songs, and evaluated the potential of Word Co-Occurrence Network to be a new concept relation analysis tool by compared with the content analysis data.
Reference: [ 1 ] Popper, K.R. and Eccles, J.C. (1984). The self and its brain. London and New York: Routledge and Kegan Paul.313-324.
[ 2 ] Rosalind W. Picard. (1997). Affective Computing. MIT Press Cambridge, MA, USA.47-84.
[ 3 ] Kim, K. & Allen, B. (2002). Cognitive and task influences on Web searching behavior. Journal of the American Society for Information Science and Technology, John Wiley & Sons, Inc., 53, 109-119.
[ 4 ] Aitchison, J. (2003). Words in the Mind: An Introduction to the Mental Lexicon.3rd Edition. Blackwell Publishers.3-15.
[ 5 ] Alm, C.O. and Roth, D. and Sproat, R. (2005). Emotions from text: machine learning for text-based emotion prediction. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, 579-586.
[ 6 ] Jiahua Tao , Tieniu Tan. (2005). Affective Computing: A Review . Lecture Notes in Computer Science Volume 3784, 981-995.
[ 7 ] Pang, B. and Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval: Volume 2, No. 1-2, 1-135.
[ 8 ] Hu, X. and Downie, J.S. and Ehmann, A.F. (2009). Lyric text mining in music mood classification. American music: Volume 183, 2-209.
[ 9 ] He, H. and Jin, J. and Xiong, Y. and Chen, B. and Sun, W. and Zhao, L. (2008). Language feature mining for music emotion classification via supervised learning from lyrics. Advances in Computation and Intelligence: 426-435.
[ 10 ] Lakoff, George, and Mark Johnson. (1980). Metaphors We Live By. Chicago and London: University of Chicago Press.
[ 11 ] Kövecses, Z.; Benczes, R. & Csábi, S. (2009). Metaphor: A practical introduction Oxford University Press, USA.
[ 12 ] Ungerer and Schmid. (1996). An Introduction to Cognitive Linguistics. London & New York: Longman.
[ 13 ] Fauconnier, G. & Turner, M. (2002). The way we think. Basic Books.
[ 14 ] Oakley, T. & Coulson, S. (1999). Blending and Metaphor. Metaphor and Cognitive Linguistics: 101-24.
[ 15 ] Kövecses, Z. (2003). Metaphor and Emotion. Cambridge Univ. Press.
[ 16 ] Fernandez-Duque, D. & Johnson, M. (1999). Attention metaphors: How metaphors guide the cognitive psychology of attention Cognitive Science, Elsevier, 23, 83-116.
[ 17 ] 陳綱佩; 張寶芳 & 洪瑞雲 <科學報導的閱讀理解與隱喻的角色> 中華傳播學刊,2007,71-109。
[ 18 ] Leydesdorff, L. & Hellsten, I. (2005). Metaphors and Diaphors in Science Communication Science Communication, SAGE Publications, 27, 64-99.
[ 19 ] Ekaterina Shutova (2010). Models of Metaphor in NLP. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics,688-697.
[ 20 ] Ekaterina Shutova ,Lin Sun ,Anna Korhonen.Metaphor Identification using verb and noun clustering. In Proceedings of COLING 2010, Beijing, China.
[ 21 ] 林岡隆,<政府官員異動之社會網路分析>,《國立政治大學資訊科學系碩士論文》,2009。
[ 22 ] 溫文喆,<詞意相似度的社會網路分析研究<,《國立政治大學資訊科學系碩士論文》,2009。
[ 23 ] 林頌堅,<以詞語共現網絡分析探勘資訊傳播學領域的研究主題與關係>,圖書資訊學研究,第四卷第二期,頁123-148,2010。

[ 24 ] Bullinaria, J. & Levy, J. (2007). Extracting semantic representations from word co-occurrence statistics: A computational study Behavior Research Methods, Springer, 39, 510-526.
[ 25 ] 吳映嫻,<歌詞情感分析於流行音樂情緒判斷之研究>,《國立台灣大學資訊工程學研究所碩士論文》,2009。
[ 26 ] Terry F.Pettijohn Ⅱ , Donald F. Sacco,Jr. (2009). The language of lyrics: An analysis of popular Billboard songs across conditions of social and economic threat. Journal of Language and Social Psychology, 28(3),297-311.
[ 27 ] Schmitt, R. (2005). Systematic metaphor analysis as a method of qualitative research. The Qualitative Report, 10, 358-394.
[ 28 ] 張雯禎, <台灣流行歌詞中的隱喻 : 以愛情為主題(1990-2008) >, 《國立中正大學語言學研究所碩士論文》,2008。
[ 29 ] 王國樹, <概念隱喻網絡研究 : 以國語流行歌曲之愛情主題為例>, 《國立臺灣大學語言學研究所碩士論文》,2010。
[ 30 ] Smyrnaios, N.; Marty, E. & Rebillard, F.(2010). Does the Long Tail apply to online news? A quantitative study of French-speaking news websites New Media & Society, SAGE Publications, 12, 1244.
[ 31 ] Otte, E. & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences Journal of information science, Sage Publications, 28, 441.
[ 32 ] Hansen, D.; Schneiderman, B. & Smith, M. (2010). Analyzing social media networks with NodeXL Morgan Kaufmann. Elsevier.
[33] 謝國平(民74)。語言學概論。臺北市:三民。
[34] Finegan, E. & Besnier, N. Language—Its Structure and Its Use New York: Harcourt
Brace Jovanovich, Publishers, 1989.
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[數位內容碩士學位學程] 學位論文

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