This study proposes a method for extracting and analyzing linguistic speech patterns of Japanese fictional characters using subword units, addressing limitations of conventional morphological analyzers. By analyzing character dialogues from various sources, the researchers demonstrate that segmenting lines with subword units improves interpretability and outperforms traditional methods in classification tasks based on gender and age. The research outcome showcases unique linguistic patterns that characterize different fictional characters, enhancing understanding of dialogue in Japanese anime and games.