텍스트의 정서 단어 추출을 통한 문학 작품의 정서 분석 = Analyzing Emotions in Literature by Extracting Emotion Terms

다국어 초록 (Multilingual Abstract)

We define a ``dominant emotion`` as acting dominantly for unit time, and propose methodology to extract dominant emotion in a literature automatically. Due to the nature of the Korean language, it is able to be changed or reversed owns meanings as desinence. But it might be possible to extract a dominant emotion in a text has a small quantity like a fiction or an essay. A process to extract a dominant emotion in a literature is as follows. At first, extract morphemes in a whole text. And dispart words having emotional meaning as matching emotion terms database. Map disported terms to a affective circumplex model and matching it with basic emotion. Finally, analyze dominant emotion according to matched basic emotion. And we adjust our methodology to two literature; modern fiction ``A lucky day`` by Jingeon, Hyun and essay ``An old man who shave a bat`` by Woyoung, Yun. As a result, it was possible to grasp flows of dominant emotion.

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