As it has become a horizontal society, smart office emerged and has been steadily increasing until recently. Inaddition, studies related to the characteristics of smart office are actively continuing. Based on this background, this studyidentified the preference tendency for smart office and the perception tendency for characteristics, and identified the overallsocial perception trend for smart office. This study reviewed the concepts, characteristics, and text mining concepts of smartoffices through literature, and analyzed data using emotional word frequency analysis, TF-IDF analysis, and topic analysis oftext mining. Data has been collected for the last three years with keywords of smart office. The results of the analysis were asfollows. First, as a result of preference analysis, it was confirmed that the current preference for smart office is very positivebased on favorability. Next, as a result of analyzing the perception tendency of smart office characteristics, it was found thatpeople perceive technical and institutional characteristics more strongly than spatial and psychological characteristics whenrecognizing smart office. As such, this study is meaningful in that it grasped the overall social perception trend of smart officeusing big data.