With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

Sentiment analysis in conversations has gained increasing attention in recent years for the
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …

Multimodal sentiment analysis (MSA) with uncertain missing modalities poses a new
challenge in sentiment analysis. To address this problem, efficient MSA models that …

Aspect-based sentiment analysis aims to determine sentiment polarities toward specific
aspect terms within the same sentence or document. Most recent studies adopted attention …

Multimodal sentiment analysis has been studied under the assumption that all modalities
are available. However, such a strong assumption does not always hold in practice, and …

Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …

Aspect-based sentiment analysis (ABSA) is a granular-level sentiment analysis task that
aims to detect the sentiment polarities of a specified aspect in the text. This research shows …

The exponential growth of textual data presents substantial challenges in management and
analysis, notably due to high storage and processing costs. Text classification, a vital aspect …

The deep learning methods based on syntactic dependency tree have achieved great
success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the …