Ensuring Transparency in Using ChatGPT for Public Sentiment Analysis

Author:

Tsai Chun-Hua1ORCID,Nandy Gargi1ORCID,House Deanna1ORCID,Carroll John2ORCID

Affiliation:

1. University of Nebraska at Omaha, USA

2. The Pennsylvania State University, USA

Funder

National Science Foundation

Publisher

ACM

Reference42 articles.

1. 2021. A Timeline of COVID-19 Developments in 2020. https://www.ajmc.com/view/a-timeline-of-covid19-developments-in-2020

2. Impact of public sentiments on the transmission of COVID-19 across a geographical gradient

3. Abdullah Hussein Alamoodi, Bilal Bahaa Zaidan, Aws Alaa Zaidan, Osamah Shihab Albahri, Khalid Ibrahim Mohammed, Rami Qays Malik, Esam Motashar Almahdi, Mohammed A Chyad, Ziadoon Tareq, Ahmed Shihab Albahri, 2021. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert systems with applications 167 (2021), 114155.

4. Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework

5. Aspect-based sentiment analysis using smart government review data

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