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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Bibliographic Details
Main Authors: Pang, Joyce S., Ring, Hiram
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/154800
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Institution: Nanyang Technological University
Language: English