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Keyword: ArabicAnalysis Methods and Classification Algorithms with a Novel Sentiment Classification for Arabic Text using the Lexicon-Based Approach
Social networks have become a valuable platform for tracking and analyzing Internet users’ feelings. This analysis provides crucial information for decision-making in various areas, such as politics and marketing. In addition to this challenge and our interest in the field of big data and sentiment analysis in social networks, we have dedicated this work to…
Read MoreCharacterization of Gum Arabic in Concrete Mix Design
The present work focuses on the effect of adding gum Arabic on the setting time of cement pastes, workability, and compressive strength of concrete. For workability and compressive strength liquid gum Arabic was added to concrete mixes at ratios of 0.0% (control mix), 0.3%, 0.5%, 0.7% of the weight of cement. In addition, from 0.1%…
Read MoreEvaluation of Facebook Translation Service (FTS) in Translating Facebook Posts from English into Arabic in Terms of TAUS Adequacy and Fluency during Covid-19
The study aims to verify the capacity of Facebook Translation Service in translating English Facebook posts into Arabic in terms of two criteria: adequacy and fluency in line with the Translation Automation User Society (TAUS) scales. To ensure consistency and objectivity as recommended by TAUS, six evaluators, native speakers of Arabic and near-native speakers of…
Read MoreText Mining Techniques for Sentiment Analysis of Arabic Dialects: Literature Review
Social media attracts a lot of users around the world. Many reasons drive people to use social media sites such as expressing opinions and ideas, displaying their diaries and sharing them with others, social communication with family and friends and building new social relationships, learning and sharing knowledge. Written text is one of the most…
Read MoreEvaluating the Impact of Semantic Gaps on Estimating the Similarity using Arabic Wordnet
Knowledge-based approach is wield used in various NLP applications. For example, to evaluate the semantic similarity between words, the semantic evidence in lexical ontologies (wordnets) is commonly used. The success of the English WordNet (EnWN) in this domain has inspired the creation of several wordnets in different languages, including the Arabic WordNet (ArWN). The English…
Read MoreInteractive Virtual Rehabilitation for Aphasic Arabic-Speaking Patients
Objective: Individuals with aphasia often experience significant problems in their daily lives and social participation. Technologies that address speech and language disorders deficit in merging between therapist’s major role and reinforcing the training between sessions at home. It also lacks the Arabic language attention; however, current systems are typically expensive and lack amusement. Moreover, cumulative…
Read MoreContextual Word Representation and Deep Neural Networks-based Method for Arabic Question Classification
Contextual continuous word representation showed promising performances in different natural language processing tasks. It stems from the fact that these word representations consider the context in which a word appears. But until recently, very little attention was paid to the contextual representations in Arabic question classification task. In the present study, we employed a contextual…
Read MoreTowards Directing Convolutional Neural Networks Using Computational Geometry Algorithms: Application to Handwritten Arabic Character Recognition
Suppose we want to classify a query item Q with a classification model that consists of a large set of predefined classes L and suppose we have a knowledge that indicates to us that the target class of Q belongs to a small subset from L. Naturally, this filtering will improve the accuracy of any…
Read MoreA Word Spotting Method for Arabic Manuscripts Based on Speeded Up Robust Features Technique
The diversity of manuscripts according to their contents, forms, organizations and presentations provides a data-rich structures. The aim is to disseminate this cultural heritage in the images format to the general public via digital libraries. However, handwriting is an obstacle to text recognition algorithms in images, especially cursive writing of Arabic calligraphy. Most current search…
Read MoreDevelopment of Wavelet-Based Tools for Event Related Potentials’ N400 Detection: Application to Visual and Auditory Vowelling and Semantic Priming in Arabic Language
Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…
Read MoreA Multilingual System for Cyberbullying Detection: Arabic Content Detection using Machine Learning
With the abundance of Internet and electronic devices bullying has moved its place from schools and backyards into cyberspace; to be now known as Cyberbullying. Cyberbullying is affecting a lot of children around the world, especially Arab countries. Thus concerns from cyberbullying are rising. A lot of research is ongoing with the purpose of diminishing…
Read MoreFeatures based approach for indexation and representation of unstructured Arabic documents
The increase of textual information published in Arabic language on the internet, public libraries and administrations requires implementing effective techniques for the extraction of relevant information contained in large corpus of texts. The purpose of indexing is to create a document representation that easily find and identify the relevant information in a set of documents.…
Read MorePaper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language
Analysis of Arabic language has become a necessity because of its big evolution; we propose in this paper a rule based extraction method of Arabic text to solve some weaknesses founded on previous research works. Our approach is divided on preprocessing phase, on which we proceed to the tokenization of the text, and formatting it…
Read MoreMachine Learning Algorithms for Real Time Blind Audio Source Separation with Natural Language Detection
The Conv-TasNet and Demucs algorithms, can differentiate between two mixed signals, such as music and speech, the mixing operation proceed without any support information. The network of convolutional time-domain audio separations is used in Conv-TasNet algorithm, while there is a new waveform-to-waveform model in Demucs algorithm. The Demucs algorithm utilizes a procedure like the audio…
Read MoreText Mining Techniques for Cyberbullying Detection: State of the Art
The dramatic growth of social media during the last years has been associated with the emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and others are now privileged ways to disseminate all kinds of information. Indeed, communicating through social media without revealing the real identity has emerged an ideal atmosphere for…
Read MoreFacebook Translation Service (FTS) Usage among Jordanians during COVID-19 Lockdown
The world is facing an unprecedented virus outbreak, COVID-19, hitting more than 200 countries. Governments have been striving to prevent the spread of the virus through the lockdown. During the strict lockdown in Jordan, people needed to stay home, and they used available social networks to keep updated on COVID-19, with Facebook, the most popular…
Read More360-Degree Videos, VR Experiences and the Application of Education 4.0 Technologies in Malaysia for Exposure and Immersion
Obstacles, both imagined and real, continue to hinder the wider adoption of Education 4.0 learning technologies although these technologies are available in the mainstream consumer market. At the same time, the boom in Industry 4.0 manufacturing has brought down the prices of these technological tools making them generally more affordable. A case in point is…
Read MoreLearning Personalization Based on Learning Style instruments
Adaptive education systems (AES) are considered one of the most interesting research topics in technology-based learning strategies. Since students have different abilities, needs and learning styles, we should fit the curriculum and teaching activities to these different learning styles. This study investigates the impact of using LAES (Libyan Adaptive Education System) on the performance of…
Read MoreDependence-Based Segmentation Approach for Detecting Morpheme Boundaries
The unsupervised morphology processing in the emerging mutant languages has the advantage over the human/supervised processing of being more agiler. The main drawback is, however, their accuracy. This article describes an unsupervised morphemes identification approach based on an intuitive and formal definition of event dependence. The input is no more than a plain text of…
Read MoreBiosynthesis of Gold Nanoparticles by Fenugreek (Trigonella Foenum-Graecum) Extract
In this work fenugreek(Trigonella Foenum Graecum) extract was used to synthesis gold nanoparticles by simple and safe method .In aqueous solution of chloroaurate ions, fenugreek extract was used as reducing agent and gum Arabic as stabilizer by one synthetic route which is microwave irradiation .The nanoparticles were characterized and investigated by ultraviolet-visible (UV-Vis) spectrophotometry, transmission…
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