This paper describes a method of implementing two factor authentication using mobile phones. The proposed guarantees that authenticating to services, such as online banking or ATM machines, is done in very secure manner. system involves phone software token for one time password generation. generated valid only short user-defined period and by factors are unique both, the user device itself. Additionally, an SMS-based mechanism implemented both backup retrieving possible mean...

The traditional electrical power grid is currently evolving into the smart grid.Smart integrates with information and communication technologies (ICT).Such integration empowers utilities providers consumers, improves efficiency availability of system while constantly monitoring, controlling managing demands customers.A a huge complex network composed millions devices entities connected each other.Such massive comes many security concerns vulnerabilities.In this paper, we survey latest on...

Most opinion mining methods in English rely successfully on sentiment lexicons, such as SentiWordnet (ESWN).While there have been efforts towards building Arabic they suffer from many deficiencies: limited size, unclear usability plan given Arabic's rich morphology, or nonavailability publicly.In this paper, we address all of these issues and produce the first publicly available large scale Standard lexicon (Ar-SenL) using a combination existing resources: ESWN, WordNet, Morphological...

In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three based on Deep Belief Networks and Auto Encoders, where the input data model ordinary Bag-of-Words, with features recently developed Arabic Sentiment Lexicon combination other standard lexicon features. The fourth model, Recursive Encoder, to tackle lack of context handling first three models. evaluation carried out using Linguistic Data Consortium...

With the growth of Internet community, textual data has proven to be main tool communication in human-machine and human-human interaction. This is constantly evolving towards goal making it as human real possible. One way humanizing such interaction provide a framework that can recognize emotions present or involved users order enrich user experience. For example, by providing insights for personal preferences automated recommendations based on their emotional state. In this work, we propose...

Observing the headway in vehicular industry, new applications are developed demanding more resources. For instance, real-time require fast processing of vast amount generated data by vehicles order to maintain service availability and reachability while driving. Fog devices capable bringing cloud intelligence near edge, making them a suitable candidate process requests. However, their location, power, technology used host update services affect performance considering mobility patterns...

research-article Share on A panoramic survey of natural language processing in the Arab world Authors: Kareem Darwish Hamad Bin Khalifa University, Doha, Qatar QatarView Profile , Nizar Habash New York University Abu Dhabi, United Emirates EmiratesView Mourad Abbas (CRSTDLA), Bouzareah, Algeria AlgeriaView Hend Al-Khalifa King Saud Riyadh, Saudi Arabia ArabiaView Huseein T. Al-Natsheh Mawdoo3, Jordan JordanView Houda Bouamor Carnegie Mellon Karim Bouzoubaa Mohammed V Rabat, Morocco...

Cognitive Radio (CR) is a novel technology that promises to solve the spectrum shortage problem by allowing secondary users coexist with primary without causing interference their communication. Although operational aspects of CR are being explored vigorously, its security have gained little attention. In this paper, brief overview provided followed detailed analysis attacks targeting Networks (CRNs) along corresponding mitigation techniques. We categorize respect layer they target starting...

While research on English opinion mining has already achieved significant progress and success, work Arabic is still lagging. This mainly due to the relative recency of efforts in developing natural language processing (NLP) methods for Arabic, handling its morphological complexity, lack large-scale resources Arabic. To close this gap, we examine class models used that do not require extensive use NLP or resources. In particular, consider Recursive Auto Encoder (RAE). However, RAE are as...

Opinion-mining or sentiment analysis continues to gain interest in industry and academics. While there has been significant progress developing models for analysis, the field remains an active area of research many languages across world, particular Arabic language, which is fifth most-spoken language become fourth most-used on Internet. With flurry activity opinion mining, several researchers have provided surveys capture advances field. these a wealth important field, fast pace machine...

Accurate sentiment analysis models encode the of words and their combinations to predict overall a sentence. This task becomes challenging when applied morphologically rich languages (MRL). In this article, we evaluate use deep learning advances, namely Recursive Neural Tensor Networks (RNTN), for in Arabic as case study MRLs. While may not be considered only representative all MRLs, challenges faced proposed solutions are common many other We identify, illustrate, address MRL-related show...

Sentiment analysis in Arabic is challenging due to the complex morphology of language. The task becomes more when considering Twitter data that contain significant amounts noise such as use Arabizi, code-switching and different dialects varies significantly across Arab world, non-textual objects express sentiments, frequent occurrence misspellings grammatical mistakes. Modeling sentiment should become easier we understand characteristics how its usage from one region another. We describe our...

Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising results for advancing accuracy in English. TL models are pre-trained on large corpora, and then fine-tuned task-specific datasets. In particular, universal (ULMs), developed BERT, have achieved state-of-the-art various NLP this paper, we hypothesize that similar success...

While significant progress has been achieved for Opinion Mining in Arabic (OMA), very limited efforts have put towards the task of Emotion mining Arabic. In fact, businesses are interested learning a fine-grained representation how users feeling their products or services. this work, we describe methods used by team (EMA), as part SemEval-2018 Task 1 Affect tweets. EMA participated all 5 subtasks. For five tasks, several preprocessing steps were evaluated and eventually best system included...

Ramy Baly, Gilbert Badaro, Georges El-Khoury, Rawan Moukalled, Rita Aoun, Hazem Hajj, Wassim El-Hajj, Nizar Habash, Khaled Shaban. Proceedings of the Third Arabic Natural Language Processing Workshop. 2017.

Protein-protein interaction (PPI) is essential to most biological processes. Abnormal interactions may have implications in a number of neurological syndromes. Given that the association and dissociation protein molecules crucial, computational tools capable effectively identifying PPI are desirable. In this paper, we propose simple yet effective method detect based on pairwise similarity using only primary structure protein. The Pairwise Similarity (PPI-PS) consists representation each...

Data generated on Twitter has become a rich source for various data mining tasks. Those analysis tasks that are dependent the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among others, suffer considerably if is not credible, real, or spam. In this paper, we perform an extensive credibility of Arabic content Twitter. We also build classification model (CAT) to automatically predict given tweet. Of particular originality inclusion features extracted directly...

Abstract Background In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning. To build trust in AI applications, it is crucial systems provide practitioners and patients reasons behind decisions. This referred as Explainable AI. While there significant progress developing stress prediction models, little work done explainable health. Methods this work, we address gap by designing an explanatory report...

The proliferation of powerful smart devices is revolutionizing mobile computing systems. A particular set applications that gaining wide interest recommender Recommender systems provide their users with recommendations on variety personal and relevant items or activities. They can play a significant role in today's life whether E-commerce for daily decisions we need to make. We introduce hybrid approach solving the problem finding ratings unrated user-item ranking matrix through weighted...

Nowadays, social media have become a platform where people can easily express their opinions and emotions about any topic such as politics, movies, music, electronic products many others. On the other hand, politicians, companies, businesses are interested in analyzing automatically people's emotions. In last decade, lot of efforts has been put into extracting sentiment polarity from texts. Recently, focus expanded to also cover emotion recognition this work, we expand an existing lexicon,...

Drivers and passengers in urban areas may spend large portion of their time waiting cars on the road while commuting to from work, school, or supermarket. Regularities driving patterns space motivate formation communities common backgrounds interests. We propose a model for forming maintaining Vehicular Social Networks (VSNs) that uses trust principles admission social groups, controlling interactions among members. This paper describes details design, proposes simple but representative...

A number of Arabic NLP (or NLP-related) workshops and conferences have taken place in the last few years, both Arab World association with international conferences.The workshop at ACL 2019 follows footsteps these previous efforts to provide a forum for researchers share discuss their ongoing work.This particular is fourth series, following First held EMNLP 2014 Doha, Qatar; Second 2015 Beijing, China; Third EACL 2017 Valencia, Spain.This included shared task on dialect identification.As...