Research Trends on Non Face-to-face Counseling Using Text Mining

This study conducted text mining on domestic journal articles focused on non face-to-face counseling to analyze research trends. Articles from domestic journals have been identified since 2002, and a total of 369 papers were used for analysis. First, in the results of TF and TF-IDF, keywords such as 'video counseling,' 'counselor,' and 'experience' were identified as key terms that represent the characteristics of non face-to-face counseling research. Second, topic modeling was conducted on the collected documents, resulting in the extraction of seven topics. These topics were named: 'Understanding Counselor Experiences in Video Counseling (Topic 1),' 'Exploring Counseling Methods for Treatment and Recovery (Topic 2),' 'Resolving Psychological Health Issues (Topic 3),' 'Analysis of Outcomes in Telephone Counseling (Topic 4),' 'Verification of Counseling Experiences and Effects (Topic 5),' 'Basic Research on Counseling Related to Education (Topic 6),' and 'Management and Improvement of Cyber Counseling (Topic 7).' Third, a time series regression analysis was performed to examine how the derived topics change over time. Topics 1, 3, 5, 6, and 7 were classified as neutral topics since their regression coefficients were not significant. Based on the comprehensive results, the study suggests future directions in the counseling field, including the organization of terms related to non face-to-face counseling, detailed thematic research by type, exploration of new topics, and research exchange with other areas.