한국어 구문분석을 활용한 이유-감성 패턴 기반의 감성사전 구축

• 영문명: Sentiment Dictionary Construction Based on Reason-Sentiment Pattern Using Korean Syntax Analysis
• 발행기관: 한국산업경영시스템학회
• 저자명: 김우현 이희정
• 간행물 정보: 『산업경영시스템학회지』제46권 제4호, 142~151쪽, 전체 10쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2023.12.31

영문 초록

Sentiment analysis is a method used to comprehend feelings, opinions, and attitudes in text, and it is essential for evaluating consumer feedback and social media posts. However, creating sentiment dictionaries, which are necessary for this analysis, is complex and time-consuming because people express their emotions differently depending on the context and domain. In this study, we propose a new method for simplifying this procedure. We utilize syntax analysis of the Korean language to identify and extract sentiment words based on the Reason-Sentiment Pattern, which distinguishes between words expressing feelings and words explaining why those feelings are expressed, making it applicable in various contexts and domains. We also define sentiment words as those with clear polarity, even when used independently and exclude words whose polarity varies with context and domain. This approach enables the extraction of explicit sentiment expressions, enhancing the accuracy of sentiment analysis at the attribute level. Our methodology, validated using Korean cosmetics review datasets from Korean online shopping malls, demonstrates how a sentiment dictionary focused solely on clear polarity words can provide valuable insights for product planners. Understanding the polarity and reasons behind specific attributes enables improvement of product weaknesses and emphasis on strengths. This approach not only reduces dependency on extensive sentiment dictionaries but also offers high accuracy and applicability across various domains.

목차

1. 서론

2. 이론적 배경 및 관련 연구

3. 감성사전 구축 방법론

4. 사례 연구

5. 결론

키워드

Aspect-Level Sentiment Analysis Sentiment Dictionary Opining Mining