Testing ChatGPT's Capabilities for Social Media Content Analysis
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu dopisy
PubMed
37605022
DOI
10.1007/s00266-023-03607-5
PII: 10.1007/s00266-023-03607-5
Knihovny.cz E-zdroje
- MeSH
- lidé MeSH
- sociální média * MeSH
- umělá inteligence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- dopisy MeSH
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