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GPT is an effective tool for multilingual psychological text analysis

Rathje, Steve et al. (2024)

Published
Aug 12, 2024
Journal
Proceedings of the National Academy of Sciences · Vol. 121 · No. 34
DOI
10.1073/pnas.2308950121

At a GlanceAI

GPT enables accurate, low-code multilingual detection of psychological constructs without task-specific training data.

SummaryAI

The study tests GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo on 47,925 manually annotated tweets and news headlines in 12 languages. Across sentiment, emotions, offensiveness, and moral foundations, GPT substantially outperformed English-language dictionary methods and approached or sometimes exceeded specialized fine-tuned models. Newer GPT versions improved performance, especially for lesser-spoken languages, while becoming less expensive. The findings suggest that prompt-based LLMs can make multilingual psychological text analysis more accessible for researchers without extensive coding skills or labeled training data.

Method SnapshotAI

Benchmarking GPT versions against manual labels, dictionary methods, and fine-tuned models across multilingual text datasets.

BackgroundAI

Basic familiarity with natural language processing, psychological text measures, and model evaluation.

One of the first uses of coding in psychology using LLMs

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