미술관 관람 경험 관련 인스타그램 게시물 유형화 연구: Google Cloud Vision, Word2Vec 활용을 중심으로

초록

This study proposes a nonintrusive Instagram post analysis methodology to clarify visitors’ use patterns, experiences, and impressions. Accordingly, images tagged with 《Hito Steyerl-A Sea of Data(2022.04.29.-2022.09.18.)》 and 《Game Society(2023.05.12.~2023.09.10.)》 were categorized and clustered using Google Cloud Vision API and Word2Vec. Further, the semantic similarities among labels were analyzed, and the top five detailed labels were extracted. According to results, the proposed image analysis and classification method demonstrates how Instagram images related to the viewing experience can be categorized by object, while reflecting the unique characteristics of exhibition and space, to effectively capture the experience’s essence. Hence, this study clarifies visitor experiences with high accuracy using objective data analysis and contributes to the cultivation of professional expertise in cultural big data analysis.

키워드