영화 대본에서 감정 및 정서 분석: 사례 연구

Emotion and Sentiment Analysis from a Film Script: A Case Study

초록

Emotion plays a key role in both generating and understanding narrative. In this article we analyzed the emotions represented in a movie script based on 8 emotion types from the wheel of emotions by Plutchik. First we conducted manual emotion tagging scene by scene. The most dominant emotions by manual tagging were anger, fear, and surprise. It makes sense when the film script we analyzed is a thriller-genre. We assumed that the emotions around the climax of the story would be heightened as the tension grew up. From manual tagging we could identify three such duration when the tension is high. Next we analyzed the emotions in the same script using Python-based NLTK VADERSentiment tool. The result showed that the emotions of anger and fear were most matched. The emotion of surprise, anticipation, and disgust, however, scored lower matching.

키워드

감정 분석; 정서 분석; 영화 대본; 자연어 처리; Emotion analysis; Sentiment analysis; Movie script; Natural Language Processing
제목
영화 대본에서 감정 및 정서 분석: 사례 연구
제목 (타언어)
Emotion and Sentiment Analysis from a Film Script: A Case Study
저자
유혜연; 김문현; 배병철
DOI
10.9728/dcs.2017.18.8.1537
발행일
2017
저널명
디지털콘텐츠학회논문지
권
18
호
8
페이지
1537 ~ 1542