Earticle

초록

영어

Sentiment dictionaries or lexicons are core elements for “bag-of-word” approaches of opinion mining or sentiment analysis. Rather than using general-purpose sentiment dictionaries, domain-specific sentiment lexicons can contribute to improve performance because they can reflect domain specific terms and meanings. This paper presents four domain-specific sentiment dictionary construction methods for opinion mining, and describes performance evaluation results using a practical data set. The comparison subjects of this research include SO-PMI (Semantic Orientation from Pointwise Mutual Information) and three term frequency-based methods with different term polarity measures. To evaluate the performance of four different methods, a movie review data set from a representative Internet movie community site, IMDb (Internet Movie Database) is collected using a web crawling program, and is analyzed using R programs. Based on training data set, domain specific sentiment dictionaries are constructed using four different methods, and are compared their performance of sentiment analysis. The experimental results show that domain-specific sentiment dictionaries are working better than general-purpose dictionaries except one genre, „animation‟. Also, term frequency-based approaches show better performance than SO-PMI.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Sentiment Analysis
  2.2. Sentiment Lexicon Construction
  2.3. PMI and SO-PMI
 3. Domain Specific Lexicon Building Methods
 4. Experimental Design
  4.1. Experiment Data Set
  4.2. Four Different Term Polarity Determination Measures
 5. Experiment Results
 6. Conclusion Remarks
 Acknowledgments
 References

키워드

저자

• Myeong So Kim [ Department of Mathematics, College of Natural Science, Hanyang University 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea ]
• Jong Woo Kim [ School of Business, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea ] Corresponding author
• Cui Jing [ Department of Business Administration, Graduate School, Hanyang University 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605