A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing

Author:

Lee PhilseokORCID,Fyffe Shea,Son Mina,Jia Zihao,Yao Ziyu

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Applied Psychology,General Business, Management and Accounting,Business and International Management

Reference126 articles.

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2. Abdessalem, W. K. B., & Amdouni, S. (2011). E-recruiting support system based on text mining methods. International Journal of Knowledge and Learning, 7, 220–232.

3. Alexander, L., III., Mulfinger, E., & Oswald, F. L. (2020). Using big data and machine learning in personality measurement: Opportunities and challenges. European Journal of Personality, 34(5), 632–648.

4. American Educational Research Association, American Psychological Association, National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: American Psychological Association.

5. Armstrong, P. I., Allison, W., & Rounds, J. (2008). Development and initial validation of brief public domain RIASEC marker scales. Journal of Vocational Behavior, 73(2), 287–299.

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