This study examines users' attitudes and emotions toward Melon and Spotify, which lead the domestic streaming market, through using semantic network analysis. This study strived to find out the emotions of users according to the company's strategy. As a result of the study, MelOn was used in a user’s daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of streaming apps. However, the users of MelOn’s had negative emotions such as anger, repulsion, and pressure. In the case of Spotify, users were highly interested in the music content provided by Spotify. In particular, interest in foreign music was high, and users were also interest in stock investment. In addition, positive emotions such as interest and pleasure were higher than melon users, which could be interpreted as providing attractive services to domestic users.
목차
Abstract Introduction Theoretical Background Previous Studies on Online Music Service Spotify and MelOn The Differences between Spotify and MelOn. Research Method The Subject and Method of Analysis Text Mining Term Frequency – Inverse Document Frequency(TF-IDF) Semantic Network Analysis Convergence of iteration Corealtion(CONCOR) 분석 Analyzing Emotional Vocabulary Results of Analysis Result of Collecting Data Result of Analyzing MelOn Data Result of Analyzing Spotify Data Result of Comparing Emotional Vocabulary Summarizing Keywords and Comparative Analysis of Emotional Vocabulary Conclusion Research Conclusion Research Implication and Limitation Reference