Search results for: Abdulmalik Al-Salman
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Procedia Computer Science > 2017 > 117 > C > 63-72
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 large dataset of Arabic tweets. The techniques used in cleaning and pre-processing the collected dataset are explained. A corpus of Arabic tweets annotated...
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Information Sciences > 2016 > 372 > C > 332-346
Many machine-controlled Twitter accounts (also called “Sybils”) are created each day to provide services, flood out messages for astroturf political campaigns, write fake product reviews, or produce an underground marketplace for purchasing Twitter followers, retweets, or URL advertisements. In addition, fake identities and user accounts in online communities are resources used by adversaries to spread...
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Data storage and analysis became prominent in our daily life. As storage became cheaper and data gathering is easier than before, we are facing an explosion in the amount of collected and analyzed data. The structure of the data became extremely varied, with many unstructured data. With large and varied formats, many challenges arise, especially in capturing, transmitting, storing, visualizing and...
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The feature of posting comments enables websites visitors (e.g., Youtube and Amazon) to interact and contribute to the posted content by adding comments. The fact that such comments are becoming part of the website content so that many visitors read them and that such comments are usually unvetted make them attractive to spammers for the purposes of advertising, spreading malware, phishing attacks,...
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This paper presents recent emerging and active data mining research fields in the period between 2013 and 2015. The research fields include education, healthcare, web, data stream, and big data. The paper starts by explaining the conducted research methodology and basic data mining processes and methods. Then, for each research field, the processes, algorithms, applications, and challenges from the...
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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 analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results...
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Natural Language Processing (NLP) is a technique used to extract data in natural language text that is used in many applications. In the last years, NLP techniques have been adapted for ontology construction and population. For example, Part-of-Speech (POS) tagging, filtering, lexical semantics tagging or tagged named entities used to extract concepts and relationships among entities. The effect of...
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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. In this paper, we present an updated survey of the emerging research on subjectivity and sentiment analysis of Arabic. We also highlight the challenges...
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2014 International Conference on Cyberworlds > 245 - 252
The user location information represents a core dimension as understanding user context is a prerequisite for providing human-centered services that generally improve quality of life. In comparison with outdoor environments, sensing location information in indoor environments requires a higher precision and is a more challenging task due in part to the expected various objects (such as walls and people)...
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Ontology is one of the most popular representation model used for knowledge representation, sharing and reusing. In light of the importance of ontology, different methodologies for building ontologies have been proposed. Ontology construction is a difficult and time-consuming process. Many efforts have been made to help ontology engineers to construct ontologies and to overcome the bottleneck of knowledge...
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Web spam techniques aim to mislead search engines so that web spam pages get ranked higher than they deserve. This leads to misleading search results as spam pages might appear in search results although the content of these spam pages might not be related to the search terms. Despite the effort of search engines to deploy various techniques to detect and filter out web spam pages from being listed...
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Distributional semantic models are considered one of the empiricist approaches to study language structure and design. Its mainly based on building semantic models of words' meanings using statistical analysis of their distribution in very large corpora. In this paper, we present the Kind Saud University Corpus of Classical Arabic (KSUCCA), which is considered the corner stone for studying the distributional...
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The richness and effectiveness of client-side vulnerabilities contributed to an accelerated shift toward client-side Web attacks. In order to understand the volume and nature of such malicious Web pages, we perform a detailed analysis of a subset of top visited Web sites using Google Trends. Our study is limited to the Arabic content in the Web and thus only the top Arabic searching terms are considered...
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Corpus opened up many new areas of research in the domain of linguistic, which would never been possible without it. Recently, corpus linguistic became a hot topic in the research community. However, entering this area for new computer researchers may take lots of effort and time. In this paper we provide new researchers in this domain with the basic terms, measures, and tools used in this area.
