This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for
sentence-level aspects. The main objective of the proposed approach allows discovering …

Online review sites and opinion forums contain a wealth of information regarding user
preferences and experiences over multiple product domains. This information can be …

The task of aspect-level sentiment analysis is intricately designed to determine the sentiment
polarity directed towards a specific target within a sentence. With the increasing availability …

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) of patients' opinions expressed in drug reviews
can extract valuable information about specific aspects of a particular drug such as …

Aspect-level sentiment analysis is a fine-grained sentiment analysis task designed to identify
the sentiment polarity of specific target in a sentence. However, this task is rarely used in …

Aspect-based sentiment analysis is a natural language processing task whose aim is to
automatically classify the sentiment associated with a specific aspect of a written text. In this …

Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to
improve their performance with pre-trained word embeddings and by modeling the relations …

A variety of independent research activities have recently been undertaken to explore the
feasibility of incorporating social networking principles into the Internet of Things solutions …

Fine-grained sentiment analysis is currently a main focus in the field of natural language
processing. In line with the significance of the semantics and the syntax, both semantic-and …