Multimodal aspect-based sentiment classification (MABSC) aims to determine the polarity of a given aspect in sentence by combining text and image information. Although corresponding sample are associated with information, their features represented distinct semantic spaces, creating substantial gap. Previous research focused primarily on identifying fusing aspect-level expressions different mod...

Combining symbolic and subsymbolic methods has become a promising strategy as research tasks in AI grow increasingly complicated require higher levels of understanding. Targeted Aspect-based Financial Sentiment Analysis (TABFSA) is an example such tasks, it involves processes like information extraction, specification, domain adaptation. However, little known about the design principles hybrid ...

Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term extraction, opinion and aspect-level classification. Early works only focused on solving one of these subtasks individually. Some recent work a combination two subtasks, e.g., extracting terms along with polarities or the pair-wisely. More recently, triple extraction task has been proposed, i.e., (aspect ter...

The goal of aspect-based sentiment analysis (ABSA) is to determine the polarity towards an aspect. Because expensive and limited amounts labelled data, pretraining strategy has become de facto standard for ABSA. However, there always exists a severe domain shift between downstream ABSA datasets, which hinders effective knowledge transfer when directly fine-tuning, making task suboptimal. To mit...

Sentiment analysis (SA) is also known as opinion mining, it the process of gathering and analyzing people's opinions about a particular service, good, or company on websites like Twitter, Facebook, Instagram, LinkedIn, blogs, among other places. This article covers thorough SA its levels. manuscript's main focus aspect-based SA, which helps manufacturing organizations make better decisions by e...

Aspect extraction is the most critical and thoroughly researched process in SA (Sentiment Analysis) for conducting an accurate classification of feelings. Over last decade, massive amounts research have focused on identifying removing elements. Products centralized distribution channels, certain apps may occasionally operate close to recent product be created. Any e-commerce business enterprise...

The task of aspect-based sentiment analysis (ABSA) is to detect the polarity toward given aspects. Contemporary methods predominantly utilize graph neural networks and incorporate attention mechanisms dynamically connect aspect terms with their surrounding contexts, resulting in more informative feature representations. However, these only consider whether there are dependencies between words w...