Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

With accelerated evolution of the internet as websites, social networks, blogs, online portals,
reviews, opinions, recommendations, ratings, and feedback are generated by writers. This …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in develo** models for sentiment analysis, the …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

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 is the computational study of people's opinions, attitudes and emotions
toward entities, individuals, issues, events or topics. A lot of research has been done to …

This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA)
of Hotels' Arabic reviews using supervised machine learning. The proposed approach …

Abstract Online Social Networks (OSNs) are the most popular interactive media for
communicating, posting, and sharing indefinite amounts of personal information. However …

With the development and the advancement of social networks, forums, blogs and online
sales, a growing number of Arabs are expressing their opinions on the web. In this paper, a …

Sentiment analysis research has predominantly been on English texts. Thus there exist
many sentiment resources for English, but less so for other languages. Approaches to …