Sumaia Mohammed Al-Ghuribi

Sumaia Mohammed Al-Ghuribi
Universiti Kebangsaan Malaysia | ukm · Center for Artificial Intelligence Technology

Doctor of Philosophy

About

20
Publications
30,213
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
159
Citations
Citations since 2016
7 Research Items
137 Citations
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
Introduction
Sumaia did research in Recommender System, Natural language processing, Sentiment Analysis, Web Mining, Text classification, and Expert Systems. The most recent publication is 'Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews'
Additional affiliations
September 2010 - September 2014
King Abdulaziz University
Position
  • Master Student
September 2008 - August 2010
Taiz University
Position
  • Teaching Assisstant
Education
September 2017 - July 2022
Universiti Kebangsaan Malaysia
Field of study
  • Computer Science

Publications

Publications (20)
Conference Paper
Full-text available
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,...
Article
Full-text 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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Preprint
Full-text available
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...
Data
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.
Article
Full-text available
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...
Thesis
Full-text available
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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....
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...

Questions

Questions (16)
Question
I want some free resources that I can learn deep learning easily. I am interested in the text mining field.
Thank You
Question
I want to understand the concept of searching based five in one row, and how it works.
If anyone know or can give me any references about this concept, please ?
Thank you
Question
I developed an approach for extracting aspects from reviews for different domains, now I have the aspects. I want some suggestion on how to use these aspects in different applications or tasks such as aspect based recommender system.
Note: Aspect usually refers to a concept that represents a topic of an item in a specific domain, such as price, taste, service, and cleanliness which are relevant aspects for the restaurant domain.
Question
I found a paper which all the contents of it are taken from my survey paper and they published it in a conference paper. What are the procedures I should take to report on this paper?
Thank you
Question
My question is concern with the correct categorization of the data collection phase
As known in the research methodology phases, there is a data collection phase .
I want to write the process of the data collection phase :
Is it right to put the process :
Data Selection and Data Preparation Or
Data Preparation and Data Preprocessing and put the selection of the data as part of the data preparation ?
Looking Forward For your answers
Thanks,

Network

Cited By

Projects

Project (1)
Project
This project aims to propose multi-criteria recommender system using the user textual reviews to fill the gap that most of the existing CF methods suffered from inaccurate recommendation due to relying on a single-criterion rating only.