Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

With the rapid development of artificial intelligence technology, large language models
(LLMs) have become a hot research topic. Education plays an important role in human …

The prime purpose of the research is to investigate stock price prediction techniques and
their shortcomings concerning particular characteristics and performance measures. The …

The prominence and profitability of influencer marketing have facilitated a proliferation of
virtual influencers—fictitious digital personalities created and managed using artificial …

Abstract In Aspect-based Sentiment Analysis (ABSA), accurately determining the sentiment
polarity of specific aspects within text requires a nuanced understanding of linguistic …

With the vast amount of social media posts available online, topic modeling and sentiment
analysis have become central methods to better understand and analyze online behavior …

Multimodal sentiment analysis is an active task in multimodal intelligence, which aims to
compute the user's sentiment tendency from multimedia data. Generally, each modality is a …

The primary challenge in Multimodal sentiment analysis (MSA) lies in develo** robust
joint representations that can effectively learn mutual information from diverse modalities …

E-commerce recommendation systems enhance the user experience by providing
customized suggestions tailored to user preferences. They analyze user interactions, such …

Transparency in AI healthcare decision-making is crucial for building trust among AI and
users. Incorporating reasoning capabilities enables Large Language Models (LLMs) to …