This study aims to prove the correlation by dividing individual emotions expressed in text into explicit and implicit meanings based on TA-life position and ego-state. Ego-status, life position, and sentence completion tests were used to collect emotion analysis data. In many cases, a multiple-choice psychological test method capable of scale evaluation and a projective psychological test method capable of free expression of clients are used in parallel to search for information of clients. In this study, in order to complement and utilize the advantages and disadvantages of the two types of psychological tests that were not covered in the previous study, a correlation of text emotion analysis based on TA-life position and ego-state. was derived. In order to achieve this research purpose, a multi-faceted emotional analysis was required, and explicit and implicit emotional analysis was statistically correlated. The semantic analysis of explicit emotions could be derived through the correlation analysis between emotions and life position (or self-state) by recording positive and negative emotional values included in the text. The semantic analysis of implicit emotions derived a significant tendency through vocabulary (phrase) analysis of the text. The analysis of the meaning of implicit emotions, which is the core of this study, was able to confirm the hidden passivity and relationship orientation from the emotional expression of individual clients, and this study was proposed to become a cornerstone for self-state and life position analysis.