Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in
natural language processing (NLP). Individuals, private and government institutions are …

Customer reviews on the Internet reflect users' sentiments about the product, service, and
social events. As sentiments can be divided into positive, negative, and neutral forms …

Conveying consumers' specific emotions in new products, referred to as emotional product
development or emotional design, is strategically crucial for manufacturers. Given that …

With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …

Abstract Aspect-Based Sentiment Analysis (ABSA) is a promising approach to analyze
consumer reviews at a high level of detail, where the opinion about each feature of the …

Deep learning and neural language models have obtained state-of-the-art results in aspects
extraction tasks, in which the objective is to automatically extract characteristics of products …

Sentiment analysis is an active research domain of the current era, thanks to its vast
applications. The main objective is to classify the polarity of the given text as negative …

Aspect-based sentiment analysis (ABSA) refers to a fine-grained task of detecting the
sentiment polarities of sentences at the aspect level. To resolve this task, ABSA training …

The problem of uncertainty is a challenging issue to solve in opinion mining models. Existing
models that use machine learning algorithms are unable to identify uncertainty within online …

With the rapid growth of user-generated content on social media, several new research
domains have emerged, and sentiment analysis (SA) is one of the active research areas due …