Sumaia Mohammed Al-Ghuribi

Universiti Kebangsaan Malaysia | ukm · Center for Artificial Intelligence Technology

In recent times, the recommender systems (RSs) have considerable importance in academia, commercial activities, and industry. They are widely used in various domains such as shopping (Amazon), music (Pandora), movies (Netflix), travel (TripAdvisor), restaurant (Yelp), people (Facebook), and articles (TED). Most of the RSs approaches rely on a singl...

User reviews are important resources for many processes such as recommender systems and decision-making programs. Sentiment analysis is one of the processes that is very useful for extracting the valuable information from these reviews. Data preprocessing step is of importance in the sentiment analysis process, in which suitable preprocessing metho...

Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to its extensive applications. Most of the existing ABSA methods been applied on small-sized labeled datasets. However, real datasets such as the Amazon and TripAdvisor contain a massive number of reviews. Thus, applying these methods on large-scale datasets may...

Collaborative filtering (CF) is one of the most widely utilised approaches in recommendation techniques. It suggests items to users based on the ratings of other users who share their preferences. Thus, one of the aims of CF is to find reliable neighbours. Typically, CF produces a sparse user-item rating matrix, when relying only on the ratings to...

Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can play a significant role in such cases, as implicit ratings can be derived from the rev...

In this paper, a systematic literature review was provided that investigated the present evidence regarding extremist words in Arabic opinion mining methods. This study aimed to perform a Systematic Literature Review (SLR) in order to detect, evaluate, and synthesize the existing evidence regarding opinion mining techniques for extremist Arabic tex...

The linguistics related research and particularly, sentiment analysis using data-driven approaches, has been growing in recent years. However, the large number of users and excessive amount of information available on social media, make it difficult to detect extremism text on these platforms. The literature revealed a plethora of research studies...

E-learning is an innovative strategy for enhancing teaching and learning in digital environments with the goal of enhancing education. In the same context, recommendation models have been developed for predicting the user's learning preferences. A task that has become urgently necessary is enhancing the learning process by designing recommendation...

The rapid growth of the internet has increased the number of online texts. This led to the rapid growth of the number of online texts in the Arabic language. The enormous amount of text must be organized into classes to make the analysis process and text retrieval easier. Text classification is, therefore, a key component of text mining. There are...

With the emergence of microblogging platforms and social media applications, large amounts of user-generated data in the form of comments, reviews, and brief text messages are produced every day. Microblog data is typically of poor quality; hence improving the quality of the data is a significant scientific and practical challenge. In spite of the...

With the emergence of microblogging platforms and social media applications, large amounts of user-generated data in the form of comments, reviews, and brief text messages are produced every day. Microblog data is typically of poor quality; hence improving the quality of the data is a significant scientific and practical challenge. In spite of the...

Recommender system has been proven to be significantly crucial in many fields and is widely used by various domains. Most of the conventional recommender systems rely on the numeric rating given by a user to reflect his opinion about a consumed item; however, these ratings are not available in many domains. As a result, a new source of information...

The dataset contains of 600 Webpages, 300 from Arabic Webpages and 300 from English Webpages. The dataset is collected from three different domains Islamic, Sport and World. The result for each Webpage from BiLEx algorithm is already available.

Extracting useful Web content is a major step in data mining. The Web content extraction process is very important for many technologies or uses as a preprocessing of many systems such as crawlers and indexers. Additionally, the extracted content is needed by the end users especially for blind and visually impaired users. It aims to extract useful...

The explosive growth on the Internet, with billions of Webpages that can be easily accessed through the Web, led to use Web text classification to organize Web documents and make them more useful and easily find for users. Web text classification is one of the Web content mining tasks that aims to assign a predefined category to a Webpage based on...

The explosive growth on the Internet, with billions of Webpages that can be easily accessed through the Web, led to use Web mining and its applications to organize Web documents and make them more useful and easily find for users. Web content mining (WCM) is one of the main categories of Web mining, which is the process of extracting useful informa...

Webpage text Classification is an important problem that has been studied through different approaches and algorithms. It aims to assign a predefined category to a Webpage based on its content and linguistic features. It has many applications such as word sense disambiguation, document indexing, text filtering, Webpages hierarchical categorization...

Web Content Extraction is an important problem that has been studied through different approaches and algorithms. It is interested in extracting meaningful and useful data from the Webpage which is surrounded with many noisy data such as advertisements and navigation links. Many applications get benefits from the extracted content such as crawlers,...

Web has become the most enormous distributed databases on the Internet. The numbers of Web pages are growing in an amazing way. This leads to expanding the content information on the Web. With the rapid growing, it is easy to share information in web. At the same time, it is a hard task to search useful information effectively and accurately from v...

One of the significant steps in the analysis of phylogenetic relationships between species is the DNA sequence comparison. In this paper, a fast method for comparing DNA sequences was introduced based on the frequencies of the codons it contains. The frequencies of codons are calculated in a way where the similarity of DNA sequences can be avoided....

The rapid growth of the Internet has increased the number of online texts. This led to the rapid growth of the number of online texts in Arabic language. With the enormous amount of texts, it must be organized them into classes to make the analysis process and text retrieval easier. So, texts classification is a major point in text mining. A lot of...

Algorithm can be written in various ways, executes sequential or parallel, and gives the same results. One of the main factors of determining the efficient of an algorithm is the execution time factor, how much time the algorithm takes to accomplish its work. Because matrix multiplication widely used in a variety of applications and is often one of...

With the significantly increase in the number of pilgrims in Hajj, There is a need for more researches to propose an efficient and new improvements for Hajj activities. One of these activities is the stoning. Stoning is a critical process in Hajj in which hundreds of thousands of pilgrims accumulate around the Jamarat basin in specific hours in the...

With the significantly increase in the number of pilgrims in Hajj, There is a need for more researches to propose an efficient and new improvements for Hajj activities. One of these activities is the stoning. Stoning is a critical process in Hajj in which hundreds of thousands of pilgrims accumulate around the Jamarat basin in specific hours in the...

Providing accurate advices to postgraduate students during their postgraduate program and directing them toward a proper courses selection with their interests are an essential process in postgraduate stage. In this paper, we propose and develop an expert system for advising postgraduate students instead of the traditional way in advising by the de...