With the recently grown attention from different research communities for opinion mining,
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …

To help individuals or companies make a systematic and more accurate decisions,
sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection …

Sentiment Analysis, is the analysis of ideas, emotions, evaluations, values, attitudes and
feelings about products, services, companies, individuals, tasks, events, titles and their …

Social media networks have grown exponentially over the last two decades, providing the
opportunity for users of the internet to communicate and exchange ideas on a variety of …

Unlike other languages, the Arabic language has a morphological complexity which makes
the Arabic sentiment analysis is a challenging task. Moreover, the presence of the dialects in …

Arabic Natural language processing (ANLP) is a subfield of artificial intelligence (AI) that
tries to build various applications in the Arabic language like Arabic sentiment analysis …

With the emergence of Web 2.0 technology and the expansion of on-line social networks,
current Internet users have the ability to add their reviews, ratings and opinions on social …

Selecting the best features in a dataset improves accuracy and efficiency of classifiers in a
learning process. Datasets generally have more features than necessary, some of them …

Internet of Things (IoT) paradigm merges the physical world into digital world with
proliferation of smart solutions in various domains. These smart solutions leverage the …

Due to increase in competition, social media is playing a big role in increasing the potential
customers for many organizations. Sentiment analysis is an important tool for analyzing the …