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Integrating Ontology-Based Approaches with Deep LearningModels for Fine-Grained Sentiment Analysisoa mark
  • 2024-01-01
  • Computers, Materials and Continua, Vol.81, pp.1855-1877
  • Tech Science Press
An exploration system to effectively analyze the visual metaphor used in sentiment visualization
  • Ha, Hyoji;
  • Moon, Kwanghyuk;
  • Joung, Hyerim;
  • Kim, Hyegyeong;
  • Lee, Kyungwon
  • 2024-04-01
  • Information Visualization, Vol.23, pp.157-196
  • SAGE Publications Ltd
An improved study of multilevel semantic network visualization for analyzing sentiment word of movie review dataoa mark
  • Ha, Hyoji;
  • Han, Hyunwoo;
  • Mun, Seongmin;
  • Bae, Sungyun;
  • Lee, Jihye;
  • Lee, Kyungwon
  • 2019-06-01
  • Applied Sciences (Switzerland), Vol.9
  • MDPI AG
Customer sentiment analysis with more sensibility
  • 2021-09-01
  • Engineering Applications of Artificial Intelligence, Vol.104
  • Elsevier Ltd
Constructing a Taxonomy for Sentiment Visualization Analysis Using Visual Metaphors 시각적 은유를 이용하는 감성 시각화 분석을 위한 분류 체계 구축oa mark
  • 2022-01-01
  • Archives of Design Research, Vol.35, pp.181-207
  • Korean Society of Design Science
감성분석 자연어처리를 위한 사전 자동화 구축
  • 유정현
  • 2022-02
  • The Graduate School, Ajou University
MetaphorVis Explorer
  • 하효지
  • 2023-02
  • The Graduate School, Ajou University
Learning Representation from Structure Information via Self-supervised Learning
  • 박준규
  • 2021-02
  • The Graduate School, Ajou University
MATERIALITY-BASED ONLINE COMPLAINT CLASSIFICATION: AN ANALYTICAL FRAMEWORK FOR EFFICIENT PUBLIC SERVICE USING TEXT MINING
  • 2024-01-01
  • ICIC Express Letters, Part B: Applications, Vol.15, pp.51-60
  • ICIC International
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