New opportunities and challenges arise with the growing availability of online Arabic
reviews. Sentiment analysis of these reviews can help the beneficiary by summarizing the …

Sentiment analysis (SA) and opinions mining (OM) are used to evaluate users' feedbacks
and comments on issues related to news, products, services, etc. This topic has received …

The Web 2.0 refers to the second generation of World Wide Web (WWW). Web 2.0 allows
Internet users to collaborate and share information online, and therefore create large virtual …

Sentiment analysis SA is concerned with determining users' opinions from text reviews.
However, mining these opinions from massive amounts of unstructured and lengthy …

Social media constitutes a major component of Web 2.0 and includes social networks, blogs,
forum discussions, micro-blogs, etc. Users of social media generate a huge volume of …

The problem of automatically extracting opinions and emotions from textual data have
gained a lot of interest recently. Unfortunately, most studies on Sentiment Analysis (SA) …

Opinion mining applications work with a large number of opinion holders. This means a
summary of opinions is important so we can easily interpret holders' opinions. The aim of …

Arabic language is the fifth most widely used language on Internet 1. Every day, a huge
volume of Arabic comments and reviews have been generated concerning different aspects …

The analysis of user reviews has become critical in research and industry, as user reviews
increasingly impact the reputation of products and services. Many review texts comprise an …

the increase of opinionated users' reviews on the web has raised the importance of
analyzing and extracting useful information pieces from those reviews. Manually analyzing …