Automated coding of implicit motives : a machine-learning approach
Implicit motives are key drivers of individual differences but are time-consuming to assess, requiring many hours of work by trained human coders. In this paper we report on the use of machine learning to automate the coding of implicit motives. We assess the performance of three neural network mode...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2022
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Online Access: | https://hdl.handle.net/10356/154800 |
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Institution: | Nanyang Technological University |
Language: | English |