Automated text analysis methods to identify the individual structure of motivation for sports and a healthy lifestyle

Abstract

In this study, we set two goals: develop and test a method for assessing a person’s motivational profile, based on psychological and content analysis of the text and applicable to motivation for sports and a healthy lifestyle and test automated text analysis programs based on artificial intelligence and compare their performance with each other and with traditional expert content analysis. The selection of programs was made from 65 text analysis programs and 12 artificial intelligence-based chatbots. A total of 12 texts were used for the study, including three long interviews and speeches, and 9 short (2-6 sentences) posts on social media and online media. The evaluated texts contain 5,787 words, of which 91% are originally in Chinese and 9% in English. The content analysis methodology was substantiated in detail in our previous publications.

Keywords

• personality type
• automated text analysis
• psychological text analysis
• psychometrics
• computational psychology
• content analysis
• psycholinguistics
• psychology of sports and healthy lifestyle