IEEE

GraphFusion Sentiment Analyzer: Integrating Heterogeneous GNNs and Transformers for Enhanced Social Media Sentiment Analysis

Abstract: Twitter's informal language and changing content present a challenge to established sentiment analysis techniques. This paper presents a unique graph-based method for improving sentiment ...
IEEE

Imbalanced Twitter Sentiment Analysis using Minority Oversampling

Abstract: Micro-Blogging platforms have become one of the popular medium which reflects opinion/sentiment of social events and entities. Machine learning based sentiment analyses have been proven to ...
Journal of Medical Internet Research

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th ...

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based ...
Frontiers

Analyzing YouTube users’ comments on climate change issues presented through immersive mixed reality using sentiment analysis and network analysis tools

The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...
Frontiers

Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

Introduction: The launch of DeepSeek, a Chinese open-source generative AI model, generated substantial discussion regarding its capabilities and implications. The r/deepseek subreddit emerged as a key ...