As a fundamental task, review sentiment classification aims to predict a user's overall
sentiment in a review about a product. Recent studies have proven critical effects of user …

After its inception, emotion recognition or affective computing has increasingly become an
active research topic due to its broad applications. The corresponding computational models …

This paper proposes a multimodal emotion recognition system based on hybrid fusion that
classifies the emotions depicted by speech utterances and corresponding images into …

Abstract Aspect-Based Sentiment Analysis (ABSA) aims to recognize fine-grained opinions
and sentiments of users, which is an important problem in sentiment analysis. Recent work …

The advent of large language models (LLMs) has gained tremendous attention over the past
year. Previous studies have shown the astonishing performance of LLMs not only in other …

Emotion and sentiment play a central role in various human activities, such as perception,
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …

Pre-trained language models (LMs) have been widely used in sentiment analysis, and some
recent works have focused on injecting sentiment knowledge from sentiment lexicons or …

A complete sentiment analysis of product and service reviews has attracted growing
concerns from merchants to enhance personalized marketing activities. Aspect sentiment …

Implicit sentiment modeling in aspect-based sentiment analysis is a challenging problem
due to complex expressions and the lack of opinion words in sentences. Recent efforts …

Abstract Script Event Prediction (SEP) aims to forecast the next event in a sequence from a
list of candidates. Traditional methods often use pre-trained language models to model …