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 media platforms for healthcare services are changing how patients choose
physicians. The digitization of healthcare reviews has been providing additional information …

In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

In this research, state-of-the-art approaches based on supervised machine learning are
presented to address the challenges of aspect-based sentiment analysis (ABSA) of Arabic …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

This paper proposes a state-of-the-art research for aspect-based sentiment analysis of
Arabic Hotels' reviews using two implementations of long short-term memory (LSTM) neural …

Due to the sheer volume of opinion rich web resources such as discussion forum, review
sites, blogs and news corpora available in digital form, much of the current research is …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Abstract Analysis of opinions, known as opinion mining or sentiment analysis, has attracted
a great deal of attention recently due to many practical applications and challenging …