Testing ChatGPT's Capabilities for Social Media Content Analysis

. 2024 Jul ; 48 (13) : 2602-2604. [epub] 20230821

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu dopisy

Perzistentní odkaz   https://www.medvik.cz/link/pmid37605022
Odkazy

PubMed 37605022
DOI 10.1007/s00266-023-03607-5
PII: 10.1007/s00266-023-03607-5
Knihovny.cz E-zdroje

This letter explores the potential of artificial intelligence models, specifically ChatGPT, for content analysis, namely for categorizing social media posts. The primary focus is on Twitter posts with the hashtag #plasticsurgery. Through integrating Python with the OpenAI API, the study provides a designed prompt to categorize tweet content. Looking forward, the utilization of AI in content analysis presents promising opportunities for advancing understanding of complex social phenomena.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine Ratings, please refer to Table of Contents or online Instructions to Authors http://www.springer.com/00266 .

Zobrazit více v PubMed

Buzzaccarini G, Degliuomini RS, Borin M (2023) The artificial intelligence application in aesthetic medicine: how ChatGPT can revolutionize the aesthetic world. Aesth Plast Surg. https://doi.org/10.1007/s00266-023-03416-w DOI

Chopan M, Sayadi L, Clark EM, Arora JS, Maguire K (2023) Hashtags in plastic surgery: a sentiment analysis of over 1 million tweets. Aesth Plast Surg. https://doi.org/10.1007/s00266-023-03340-z DOI

OpenAI (2023) Introducing ChatGPT and Whisper APIs. https://openai.com/blog/introducing-chatgpt-and-whisper-apis

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