Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Personal Sentiment Analysis and Opinion Mining

개인감정분석과 마이닝

  • Lee, Hyun Chang (Dept. of Digital Contents Engineering, Wonkwang University) ;
  • Shin, Seong Yoon (School of Computer and Information Comm. Engineering, Kunsan National University)
  • 이현창 (원광대학교 디지털콘텐츠공학과) ;
  • 신성윤 (군산대학교 컴퓨터정보통신공학부)
  • Published : 2017.07.12
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Abstract

Opinion mining and sentiment analysis(OMSA) as a research discipline has emerged during last 15 years and provides a methodology to computationally process the unstructured data mainly to extract opinions and identify their sentiments. The relatively new but fast growing research discipline has changed a lot during these years. This paper presents a scientometric analysis of research work done on OMSA during 2007-2016. For the literature analysis, research publications indexed in Web of Science (WoS) database are used as input data. The publication data is analyzed computationally to identify year-wise publication pattern, rate of growth of publications, research areas.

Keywords