The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …

In recent years, sentiment analysis on social media, including Facebook, Twitter and blogs,
has grown in popularity. Social media generate large amounts of information, and this has …

Online media, such as websites and applications, have become a communication tool
available on the internet. Social media is a part of online media that can be used to spread …

This article presents a comprehensive evaluation of traditional machine learning and deep
learning models in analyzing sentiment trends within the SENT-COVID Twitter corpus …

Researchers from different fields have studied the effects of the COVID-19 pandemic and
published their results in peer-reviewed journals indexed in international databases such as …

Sentiment analysis, a subfield of Natural Language Processing (NLP), focuses on the study
of emotions expressed in text data. While extensively used in major languages such as …

Public incidents necessitate prompt proactive measures by the government and pertinent
departments, posing substantial challenges to emergency management capabilities. With …

In addressing the critical role of emotional context in patient–clinician conversations, this
study conducted a comprehensive sentiment analysis using BERT, RoBERTa, GPT-2, and …

While most published research on COVID-19 focused on a few countries and especially on
the second wave of the pandemic and the vaccination period, we turn to the first wave …

In order to explore effective management strategies in the context of epidemics, this study
introduces a novel concept: Trapezoidal type-2 fuzzy linguistic intuitionistic fuzzy set …