Social Media as an Emotional Barometer: Bidirectional Encoder Representations From Transformers-Long Short-Term Memory Sentiment Analysis on the Evolution of Public Sentiments During Influenza A on Sina Weibo.

ABSTRACT:

Background

Starting in October 2023, China experienced successive outbreaks and the spread of influenza A. During this period, Sina Weibo users sought emotional stability and psychological resilience by sharing information and expressing personal opinions. The content generated by users, including text posts, can be analyzed to reveal fluctuations in their emotions and psychological dynamics, thereby providing a valuable reference for assessing their mental health status.

Objective

This study aimed to understand the evolution of emotions expressed on social media during the various phases of the influenza A outbreak.

Methods

We used the bidirectional encoder representations from transformers-long short-term memory model to classify emotions in relevant posts from Sept

SUBMITTER: Ou Y 

PROVIDER: S-EPMC12444218 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature