# Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/frontiers-determining-the-validity-of-large-language-models-for-automated/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peiyao Li,Noah Castelo,Zsolt Katona,Miklós Sárváry |
| Citations | 148 |
| DOI | 10.1287/mksc.2023.0454 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391220979 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Noah Castelo](https://scholariq.org/researchers/noah-castelo/)

## Paper primary topic

- [Computational and Text Analysis Methods](https://scholariq.org/topics/computational-and-text-analysis-methods/)

## Paper topics

- [Computational and Text Analysis Methods](https://scholariq.org/topics/computational-and-text-analysis-methods/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.