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.