
Samar Al-SaqqaUniversity of Jordan | UJ · Information Technology
Samar Al-Saqqa
Computer Science
About
18
Publications
80,641
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369
Citations
Citations since 2017
Introduction
Artificial intelligence NLP, Sentiment Analysis, Machine Learning
Additional affiliations
September 2004 - present
Publications
Publications (18)
One of the new promising technologies for the future is block-chain. It has become one of the popular techniques for various transactions and applications in many different areas such as economy, business, and government. Blockchain technology started with cryptocurrency and bitcoin applications for a safe and transparent environment. Blockchain is...
Introduction
Intrusion detection systems play a key role in system security by identifying potential attacks and giving appropriate responses. As new attacks are always emerging, intrusion detection systems must adapt to these attacks, and more work is continuously needed to develop and propose new methods and techniques that can improve efficient...
Sentiment analysis is an area of great interest in research because of its importance and its advantages in many different domains. Many supervised methods and techniques are used in the existing literature to analyze the sentiment of texts, which usually needs manual labeling for training data that takes effort and time. In this paper, we propose...
p>Software engineering is a discipline that undergone many improvements that aims to keep up with the new advancements in technologies and the modern business requirements through developing effective approaches to reach the final software product, agile software development is one of these successful approaches. Agile software development is a lig...
Sentiment analysis is an area that gains wide interest from research because of its importance and advantages in various fields. Different approaches and techniques are used to classify the sentiment of texts. Word embedding is one of the effective methods that represent aspects of word meaning and help to improve sentiment classification accuracy....
Sentiment analysis is an area of great interest in research because of its importance and advantages in many different domains. Different approaches and techniques are used to classify the sentiment of texts, and there are different algorithms proposed to improve the performance through text preprocessing. Stemming is one of preprocessing step that...
Emotion detection in text is a research field that gained an extensive interest recently. The advancement in communication networks and the spread usage of social web is the reason of massive amount of emotions that can be extracted frequently. The extraction and analysis of such emotions provides a powerful tool in detecting and recognizing the fe...
Sentiment Analysis of large-scale data has become increasingly important and has attracted many researchers, urging them to use new platforms and tools that can handle large volumes of data. In this paper, we present new evaluation experiments of sentiment analysis for a large-scale dataset of online customer's reviews under Apache Spark data Proce...
In this paper, an ensemble of machine learning classifiers approach is used to classify the sentiment polarity of Arabic text. This approach is based on the majority voting algorithm in conjunction with four classifiers, namely Naive Bayes, Support Vector Machines, Decision Trees and K-Nearest Neighbor algorithms. Four combinations of these classif...
Emotion detection in text is a research field
that gained an extensive interest recently. The
advancement in communication networks and the spread
usage of social web is the reason of massive amount of
emotions that can be extracted frequently. The extraction
and analysis of such emotions provides a powerful tool in
detecting and recognizing the fe...
This research paper shows how Social Media Networks (SNS) used by university students, positively or negatively has influenced the access and availability of e-content. It presents the results of a detailed study conducted at The University of Jordan (UoJ) that comprised students from 19 faculties. A set of 1,015 students were asked about their opi...
The fast growing market of mobile device adoption and cloud computing has led to exploitation of mobile devices utilizing cloud services. One major challenge facing the usage of mobile devices in the cloud environment is mobile synchronization to the cloud, e.g., synchronizing contacts, text messages, images, and videos. Owing to the expected high...
Electronic government (e-Government) in its simplest form can mean using information and communication technology (ICT) tools to provide services to citizens. Still with the huge benefits and synergies that e-Government grants to governments and societies, it faces many obstacles and challenges. Therefore, there are always a number of critical succ...
In this paper, we investigate the effects of the free minutes offered by mobile line service providers on the mobiles customers (users) in Jordan; we analyzed the data collected from 298 users. Each user completed a survey (questionnaire) with 22 questions. For the purpose of analysis, the survey questions are grouped into three categories; the neg...
In this paper, we provide new evaluation experiments on iris recognition system, these experiments are based on different evaluation metrics which investigate the iris recognition system accuracy using a new version of the well-known public database CASIA version3. Two datasets from CASIA V3-Interval database are used, the first set is set100 conta...
Questions
Questions (7)
Are there any hate Speech datasets in the Arabic language?
Agile Development software
Arabic big data-set for sentiment analysis