Sentiment Analysis in Images: Revisiting Multi-Model Approaches

Sentiment analysis has become essential in understanding public opinion and emotions expressed in text and visual data. This paper provides a comprehensive review of the advances in sentiment analysis, encompassing a range of methodologies from machine learning to deep learning techniques. The review explores various applications, including social media sentiment analysis, e-commerce product reviews, and image sentiment analysis, highlighting the evolution and hybridization of techniques to enhance accuracy and interpretability. Additionally, the survey discusses the challenges and future directions in the field.