---
title: Deep Learning for Personality Measurement
url: https://www.ml-quant.com/papers/repec/inm-orisre-v-34-y-2023-i-1-p-194-222/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:inm:orisre:v:34:y:2023:i:1:p:194-222
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fdx.doi.org%2F10.1287%2Fisre.2022.1111%3Bh%3Drepec%3Ainm%3Aorisre%3Av%3A34%3Ay%3A2023%3Ai%3A1%3Ap%3A194-222
featured: 2023-08-17
citations: unknown
topic: ML & AI Methods
---


# Deep Learning for Personality Measurement

The second article introduces DeepPerson, a tool for text-based personality detection that merges psycholinguistic theories with deep learning strategies, with the goal of enhancing the precision of personality assessments for improved predictive analytics in organizations and consumer decision making.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fdx.doi.org%2F10.1287%2Fisre.2022.1111%3Bh%3Drepec%3Ainm%3Aorisre%3Av%3A34%3Ay%3A2023%3Ai%3A1%3Ap%3A194-222
- Identifier: RePEc:inm:orisre:v:34:y:2023:i:1:p:194-222
- Released: 2023-08-17
- First featured: Quant Letter No. 12 (2023-08-17): https://www.ml-quant.com/issues/2023-08-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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