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Greek Tweets on Long COVID: Topic Modelling Following Sentiment Analysis and ChatGPT Interpretation.

Afroditi Katika¹, Emmanouil Zoulias¹, Vassiliki Koufi²

¹Department of Nursing, National and Kapodistrian University of Athens, Athens Greece.

Studies in Health Technology and Informatics

|August 23, 2024

Summary

This summary is machine-generated.

Analyzing social media data on Long COVID (Coronavirus Disease 2019) reveals key discussion topics. Combining sentiment analysis with topic modeling creates more coherent insights into patient experiences with this challenging diagnosis.

Keywords:

Big Data COVID-19 LLM Natural Language Processing Twitter

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Area of Science:

Computational linguistics
Public health informatics
Social media analytics

Background:

Long COVID presents diagnostic challenges and impacts patient quality of life.
Social media platforms are crucial for expressing public sentiment and experiences regarding Long COVID.
Greek-language Twitter data from 2022 offers a unique perspective on Long COVID discussions.

Purpose of the Study:

To analyze positive and negative sentiment in Greek Twitter messages about Long COVID.
To extract popular discussion topics related to Long COVID from social media.
To evaluate the effectiveness of combining sentiment analysis with topic modeling for coherent topic extraction.

Main Methods:

Sentiment analysis was performed on Greek text messages from Twitter (now X) in 2022.
Topic modeling techniques were applied to identify prevalent themes in Long COVID discussions.
ChatGPT was utilized for automated topic labeling, followed by human expert assessment.

Main Results:

Sentiment analysis improved the coherence of topics generated by topic modeling.
Key discussion topics related to Long COVID experiences and challenges were identified.
Automated topic labeling using ChatGPT, validated by human experts, proved effective.

Conclusions:

Integrating sentiment analysis with topic modeling enhances the understanding of public discourse on Long COVID.
Social media analysis provides valuable insights into patient experiences and challenges.
AI tools like ChatGPT can assist in analyzing large-scale qualitative data for public health research.