COVID-19 is a highly infectious and detrimental illness and is accepted as one of the most pervasive health crises of the last decades. The pandemic maintains its full effect and has continued longer than initially expected. The pandemic has affected many people in Turkey as well, irritating and making them anxious. In this study, the reaction of the society to the epidemic has been examined in the period from March month, when the first case has been announced, to June, when the normalization process began (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28). In order to understand these reactions, a total of 567,018 texts using the hashtag #StayHome on the Twitter platform have been fetched and analyzed. In this period, when the pandemic first appeared, it has been tried to make sense of what society has talked about by using text mining. Sensitivity analysis has been used to see the weekly reactions of individuals that differentiate their positive/negative moods and hope levels. As a result, some differences have been observed in the emotions analyzed in two-week periods.