The state-of-the-art methods in aspect-level sentiment classification have leveraged the
graph based models to incorporate the syntactic structure of a sentence. While being …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

In today's digital age, customer feedback, particularly gathered from various sources like
mobile application reviews, has emerged as a critical resource for service-providing …

With the prevalence of social media and online forum, opinion mining, aiming at analyzing
and discovering the latent opinion in user-generated reviews on the Internet, has become a …

Abstract As technology advances, Facebook, Twitter, and microblogging sites have become
the most effective platforms for communication and information exchange. Through these …

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 …

Purpose The current paper aims at exploring negative aspects in reviews about Airbnb
listings in Athens, Greece. Design/methodology/approach The aspect-based sentiment …

Aspect‐based sentiment analysis (ABSA) is the subfield of natural language processing that
deals with essentially splitting data into aspects and finally extracting the sentiment polarity …

Online learning has developed rapidly and billions of learners have participated in various
courses. However, the high dropout rate is universal and learning performance is not …

Due to the massive progression of the Web, people post their reviews for any product,
movies and places they visit on social media. The reviews available on social media are …