텍스트 마이닝을 활용한 SMU 감성 사전 구현 및 신조어 감성 분석 연구
Text Mining-based Sentiment Analysis of Newly-Coined Words and Implementation of SMU Sentimental Dictionary
  • 박혜림
  • 조소정
  • 한현빈
  • 유석종
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초록

With the development of the Internet, the rate of creation and extinction of newly coined words is increasing rapidly. Newly-coined words have the social problem of being an obstacle to inter-generational communication. Therefore, this study established a system for analyzing coined words to give opportunities for smooth communication to groups who are not familiar with them. The analysis system of this study provides simultaneous frequent words, category analysis and emotional value visualization for newly coined words that occur in the Internet community, social media, etc. In particular, Sookmyung Women's Univ (SMU) emotional dictionary was established by providing a methodology for extending the existing emotional dictionary to newly coined words in analyzing emotional values. The SMU emotional dictionary presented in this study for sentences containing newly coined words has enabled more accurate emotional analysis than the existing emotional dictionaries.

키워드

sentiment analysisnewly–coined wordmachine learningtext mining.
제목
텍스트 마이닝을 활용한 SMU 감성 사전 구현 및 신조어 감성 분석 연구
제목 (타언어)
Text Mining-based Sentiment Analysis of Newly-Coined Words and Implementation of SMU Sentimental Dictionary
저자
박혜림조소정한현빈유석종
DOI
10.14801/jkiit.2022.20.2.21
발행일
2022-02
저널명
한국정보기술학회논문지
20
2
페이지
21 ~ 28