TAT stories that were used to judge the presence of uncertainty motivation were analyzed by text mining. The stories following lead sentence number 2 were analyzed for this study. The results show that: (1) Words and phrases such as “search,” “depressed,” “future,” and “what should I do” were included in the stories with uncertainty motivation; (2) Stories without uncertainty motivation were characterized by the words “friend,” “alone,” and “man.”; (3) These Stories following lead sentence number 2 were shown to have a framing of the negative event and, a coping response.

We preliminarily surveyed the influence of COVID-19 on pregnancy, birth, and childcare. We used semi-structured interviews. We used text mining to analyze five participants who experienced pregnancy and childbirth before and during the COVID-19 pandemic. This study showed the following outcomes: (1) COVID-19 influenced familial support, social support, and birth. (2) Participants found it difficult to ask for support. (3) Participants needed social support for infection prevention at the preparation stage because they also cared for their children. (4) The birth affected the failure to share needs of the family and enhance the awareness of childbirth as a pregnant woman.

Text mining was used to analyze the TAT story used to determine the presence or absence of uncertainty motivation. Participants were 82 university students. The results show that: (1) Although there were few words specific to the stories judged to have uncertainty motivation, the words "microscope," "medicine," and "life" tended to be used in this story. (2) There were relatively many words that were used only in the stories without uncertainty motivation, such as the words "friend," "early," "end," "I," "fork," "walk," and "home". (3) No clear co-occurrence relationship could be found between the words.