We present a method of automatically constructing a domain-specific Korean sentiment dictionary which can be used to classify the sentiment of online movie reviews. More than 1.18 million online movie reviews with movie ratings ranging between 1 to 4 and 7 to 10 were collected across fourteen different movie genres to calculate the joint probability of a given word and the sentiment of movie reviews for each genre. In particular, the joint probability of (1) a given word and the positive movie reviews that contain movie ratings 7 to 10 and (2) a given word and the negative movie reviews that contain movie ratings 1 to 4 for each movie genre were calculated. The difference between the two joint probabilities (i.e., (1) – (2)) was obtained for each word in each genre, and the fourteen genres’ joint probability differences of each word were averaged. Finally, the averaged joint probability difference values were normalized to range between -1 and 1. These normalized values were utilized as the sentiment values of each word in the final 135,082-word movie domain Korean sentiment dictionary. The positive/negative binary sentiment classification performance of the constructed sentiment dictionary was evaluated using test data, and the balanced accuracy of 80.7% was achieved, confirming the effectiveness of the proposed sentiment dictionary construction method.
목차
Abstract 1. Introduction 2. Existing Approaches 3. Sentiment Dictionary Construction 3.1. Data 3.2. Method and Assumption 3.3. Implementation 4. Experiment 4.1. Parameter Setting and Test Data 4.2. Evaluation Measure 4.3. Threshold Setting 4.4. Result 5. Conclusion Acknowledgements References
키워드
Korean Sentiment DictionaryOnline Movie ReviewsSentiment Classification
저자
Heeryon Cho [ BK21Plus Big Data Service Model Optimization Team Department of Management Information Systems Chungbuk National University, South Korea ]
Sang-Hyun Choi [ BK21Plus Big Data Service Model Optimization Team Department of Management Information Systems Chungbuk National University, South Korea ]
Corresponding Author
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.2