As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …

Deep neural networks and huge language models are becoming omnipresent in natural
language applications. As they are known for requiring large amounts of training data, there …

In the era of social networking platforms, user-generated content is flooding every second on
online social media platforms like Facebook. So observing and identifying many contents …

Most of the existing pre-trained language representation models neglect to consider the
linguistic knowledge of texts, which can promote language understanding in NLP tasks. To …

Multimodal sentiment analysis (MSA) plays an important role in many applications, such as
intelligent question-answering, computer-assisted psychotherapy and video understanding …

Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting
of an opinion target or aspect, its associated sentiment, and the corresponding opinion …

Carefully crafted prompts can significantly enhance the accuracy and effectiveness of
sentiment classification models. This paper explores the use of prompt engineering and …

Aspect-based sentiment analysis (ABSA) has captured great attention from researchers and
industrialists owing to their pulverized nature of sentiment analysis task and the goal to …

Sentiment analysis is an important tool to automatically understand the user-generated
content on the Web. The most fine-grained sentiment analysis is concerned with the …