Publications

Sentiment analysis (SA) of Arabic tweets is a complex task due to the rich morphology of the Arabic language and the informal nature of language on Twitter. Previous research on the SA of tweets mainly focused on manually extracting features from...
Mobile Social Games (MSGs) are becoming increasingly popular worldwide, and the factors leading to the diffusion and use of such games need to be further investigated. This study proposes an extended model that aims to explore the Use of Mobile...
This paper presents the preliminary results of the construction of a morphologically annotated corpus for the Saudi dialect. We call the corpus SUAR (SaUdi corpus for NLP Applications and Resources). The corpus consists of around 104,079 words...
With the spread of social media, the demand for automated systems that analyze these massive amounts of data on the Web is increasing. One domain for these systems is sentiment analysis(SA). SA is designed to extract sentiment from text; this is...
Arabic Sentiment Analysis is an active research area these days. However, the Arabic language still lacks sufficient language resources to enable the tasks of sentiment analysis. In this paper, we present the details of collecting and constructing a...
Sentiment Analysis (SA) is an active research area nowadays due to the tremendous interest in aggregating and evaluating opinions being disseminated by users on the Web. SA of English has been thoroughly researched; however research on SA of Arabic...
Spam in Twitter has emerged due to the proliferation of this social network among users worldwide coupled with the ease of creating content. Having different characteristics than Web or mail spam, Twitter spam detection approaches have become a new...
This paper introduces MADAD, a general-purpose annotation tool for Arabic text with focus on readability annotation. This tool will help in overcoming the problem of lack of Arabic readability training data by providing an online environment to...
Research interest in Arabic sentiment analysis (ASA) is rapidly increasing, therefore it is important to compile, document and analyze efforts in this area to facilitate further development. These ASA efforts aim to create tools that can sift...
Recently, Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment...
Recently, subjectivity and sentiment analysis of Arabic has received much attention from the research community. In the past two years, an enormous number of references in the field have emerged compared to what has been published in previous years...
The rising expenses of information systems and their growing importance to organizations have made the justification of projects increasingly critical. The justification is usually done through a business case that is an initial step for...
This paper describes a study of measuring the user experience of children in their interaction with digital books. An eye tracking experiment was conducted with eight children to examine their eye movements as they interacted with digital books in...