Abstract

This study examines the emotional expressions of the generation MZ using app-based conversational data, which were classified by gender and emotion type and analyzed through LDA topic modeling. The analysis identified key topics related to sadness and anger for both genders, as well as happiness for females. Common issues among the MZ generation included family(particularly issues involving fathers), employment and workplace stress, companion animals, and shared living conflicts. Male-sadness topics highlighted concerns about personal, family, and friends’ health, employment stress, exhaustion from job responsibilities, and grief over the loss of a companion animal. Female-sadness topics similarly focused on concerns about family and friends’ health, grief over the death of a companion animal, and employment stress. Anger-related topics for both genders pointed to workplace stress, shared living conflicts, and anger toward irresponsible companion animal owners. Female-specific issues included discussions on coping strategies for depression through the app, as well as cultural trends such as SNS-driven consumption and marathon running.