A Text Mining-Based Comparative Study on the Box Office Success Factors of the Films “Heartsping : Teenineping of Love” and “The Little Mermaid”

This study utilized text mining techniques to compare and analyze the box officefactors of the movies Heartsping: Teenineping of Love and The Little Mermaid. Through keyword frequency analysis, TF-IDF, sentiment analysis, and keyword centrality analysis, thedifferences in target audience and marketing strategies between the two films were identified. Heartsping: Teenineping of Love achieved a clear target audience (children and families) byfocusing on character-driven narratives and emotional messaging (“love,” “children”), resultingin positive reactions and stable audience numbers. Sentiment analysis revealed 16,300 positiveemotions (83.19%) for Heartsping: Teenineping of Love. In contrast, The Little Mermaidshowed 9,983 positive emotions (71.78%), slightly lower than Heartsping: Teenineping ofLove. Keyword centrality analysis for Heartsping: Teenineping of Love indicated high connectivityfor keywords related to characters (IP), such as “Teenieping,” “Heartsping,” and “character.”In comparison, The Little Mermaid showed high centrality for brand-related keywords(“Disney,” “live-action,” “movie”), but also for controversy-related keywords such as “Black”and “controversy,” reflecting casting debates. This study highlights the importance of contenttargeting, emotional message delivery, controversy management, and differentiated marketingstrategies in film success, while demonstrating the potential of big data-drivendecision-making.