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 …

Social networking sites have a wealth of user-generated unstructured text for fine-grained
sentiment analysis regarding the changing dynamics in the marketplace. In aspect-level …

The variety of enormous information on the web encourages the field of recommender
systems (RS) to flourish. In recent times, deep learning techniques have significantly …

Extracting opinion-target expression is a core subtask to perform aspect-based sentiment
analysis which aims to identify the discussed aspects within a text associated with their …

Aspect extraction poses a significant challenge in Natural Language Processing (NLP).
Extracting explicit and implicit aspects from online text data remains an ongoing challenge …

Abstract aspect term extraction tasks typically require a substantial amount of labeled data,
which can be costly in terms of financial and human resources. To reduce the dependence …

Background: As the e-commerce product reviews and social media posts are increasing
enormously, the size of the database for polarity/sentiment detection is a challenging task …

In the recent era of digital universe, Aspect-based sentiment analysis's (ABSA) subtask of
aspect extraction has benefited greatly from deep learning models. Aspect terms of the …

Sentiment Analysis includes methods and techniques for businesses to understand and
analyze customer reviews, feedback and opinion on a particular product or service …

Aspect-level sentiment analysis is crucial for consumers and institutions, enabling them to
monitor satisfaction regarding specific aspects of products and services through user …