Testing ChatGPT's Capabilities for Social Media Content Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96544" target="_blank" >RIV/60460709:41110/23:96544 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00266-023-03607-5" target="_blank" >https://doi.org/10.1007/s00266-023-03607-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00266-023-03607-5" target="_blank" >10.1007/s00266-023-03607-5</a>
Alternative languages
Result language
angličtina
Original language name
Testing ChatGPT's Capabilities for Social Media Content Analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30212 - Surgery
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AESTHETIC PLASTIC SURGERY
ISSN
0364-216X
e-ISSN
0364-216X
Volume of the periodical
neuvedeno
Issue of the periodical within the volume
neuvedeno
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
3
Pages from-to
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UT code for WoS article
001052525900012
EID of the result in the Scopus database
2-s2.0-85168498210