PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference66 articles.
1. Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion;Abdi;Information Processing & Management,2019
2. Credit scoring, statistical techniques and evaluation criteria: A review of the literature;Abdou;Intelligent Systems in Accounting, Finance and Management,2011
3. A Deep Learning Architecture for Psychometric Natural Language Processing;Ahmad;ACM Transactions on Information Systems (TOIS),2020
4. Comparison of the NEO-FFI, the NEO-FFI-R and an alternative short version of the NEO-PI-R (NEO-60) in Swiss and Spanish samples;Aluja;Personality and Individual Differences,2005
5. The MCMI-III personality disorders scores predicted by the NEO-FFI-R and the ZKPQ-50-CC: A comparative study;Aluja;Journal of Personality Disorders,2007
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