Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach

Arabic’s complex morphology, orthography, and dialects make sentiment analysis difficult. This activity makes it harder to extract text attributes from short conversations to evaluate tone. Analyzing and judging a person’s emotional state is complex. Due to these issues, interpreting sentiments accurately and identifying polarity may take much work. Sentiment analysis extracts subjective information from text. This research evaluates machine learning (ML) techniques for understanding Arabic emotions. Sentiment analysis (SA) uses a support vector machine (SVM), Adaboost classifier (AC), maximum entropy (ME), k-nearest neighbors (KNN), decision tree (DT), random forest (RF), logistic regression (LR), and naive Bayes (NB). A model for the ensemble-based sentiment was developed. Ensemble classifiers (ECs) with 10-fold cross-validation out-performed other machine learning classifiers in accuracy (A), specificity (S), precision (P), F1 score (FS), and sensitivity (S).

DESCRIPTION OF DYSTOCIA IN EWES OF THE KSAR EL BOUKHARI REGION (ALGERIA)

The region of Ksar el Boukhari is an important site for sheep farming in the high plateaus of central Algeria, the main product of which is the lamb. However, the prevalence of neonatal mortality has been scarcely studied. A longitudinal study involving ten veterinary facilities in the region provided us with a detailed description on 171 cases of dystocia, including bad presentations (39%), cervical atony/non-dilation of the cervix (19%), (true) cervical atresia (10%), and uterine torsion (8%). Twenty-nine percent of the cases of dystocia were presented at the veterinary facilities on the same day. Manual relief was provided in 62% of the cases. The remaining cases were relieved surgically

For a characterization of the modes of deployment of e-learning courses

This text on the characterization of the modes of deployment of e-learning paths follows our literature review on e-learning that we used in our doctoral work. E-learning is defined in this research as a set of multimedia online training methods aimed at specific learning. Practices for deploying e-learning courses to employees have been evolving for several years. The evolution of these practices aims to improve the rate of follow-up by employees of the training content distributed in e-learning as well as their learning. There is an academic and managerial interest in better understanding the factors influencing the act of monitoring e-learning courses by employees as well as on the learning of employees possibly resulting from this monitoring. On the basis of these observations, it is important to propose a characterization of the modes of deployment of e-learning paths among employees. Three main dimensions of the deployment of e-learning in companies have been identified and will be presented in this article: the technological, pedagogical and organizational dimension

Multiobjective Optimization to Optimal Moroccan Diet Using Genetic Algorithm

Proper glucose control is designed to prevent or delay the complications of diabetes. Various contexts can lead to a fluctuation of the blood sugar level to a greater or lesser extent. It can be, for example, eating habits, treatment, intense physical activity, etc. The feeding problem interpolated by a minimum cost function is well-known in the literature. The main goal of this paper is to introduce a multiobjective programming model with constraints for the diet problem with two objective functions, the first of which is the total glycemic load of the diet while the second objective function is the cost of the diet. the MOGA (multiobjective Genetic Algorithm) algorithm was used to resolve the proposed model. The experimental results show that our system ([proposed model – MOGA]) is able to produce adequate diets that can settle glycemic load and cost while respecting the patient\u27s requirements

Indice de crédibilité d'un nœud capteur dans un réseau de capteurs sans fil

Le fonctionnement des capteurs est influencé par l’environnement dans lequel ils sont implémentés. Les liens entre les nœuds capteur sont vulnérables et leurs pannes provoquent des erreurs au niveau de l’information partagée. La grandeur physique captée dans les applications de sécurité critique notamment la détection d’incendie, nécessite un fonctionnement correct du système et un traitement fiable permettant d’avoir une information crédible. Dans ce travail, nous proposons une approche permettant de quantifier les erreurs et les pannes dues au mauvais fonctionnement du nœud capteur. Nous avons amélioré l’algorithme de crédibilité apparue dans [1] et comparé leurs résultats avec ceux de l’algorithme DLFS (DistributedLocalizedFaultySensor) sur la même plateform

Trichobezoar gastrique - à propos de deux cas

Le trichobezoar gastrique est une affection rare (un peu plus d’une dizaine de cas dans la littérature), qui affecte essentiellement des jeunes filles perturbées par des désordres psychologiques. Les auteurs rapportent deux cas de jeunes filles, hospitalisées pour volumineuse masse épigastrique. La fibroscopie gastrique a posé le diagnostic de trichobezoar. Une exérèse chirurgicale a été réalisée à travers une gastrotomie, sans complications. Un suivi psychiatrique des deux patientes a été recommandé. Le trichobezoar gastrique désigne l’accumulation inhabituelle de cheveux au niveau de l’estomac. Son diagnostic est facile en présence d’un contexte de trichophagie évocateur. La fibroscopie œsogastroduodénale est l’examen de référence permettant la visualisation du trichobezoar dont le traitement est essentiellement chirurgical

Intelligent Local Search Optimization Methods to Optimal Morocco Regime

In this paper, we compare three well-known swarm algorithms on optimal regime based on our mathematical optimization model introduced recently. Different parameters of this latter are estimated based on 176 foods and on who’s the nutrients values are calculated for 100 g. The daily nutrients needs are estimated based on the expert’s knowledge. Different experimentations are realized for different configurations of the considered swarm algorithms. Compared to Stochastic Fractal Search (SFS) and Particle Swarm Optimization Algorithm (PSO), the Firefly Algorithm (FA) produces the main suitable regimes

The effect of sustainable and smart planning framework on urban logistics and mobility

Urban planning and design have witnessed an exceptional transformation following the rapid development of information and communication technologies (ICTs). This new era paved the way for the rise of new technical concepts and methods in urban planning where human-computer interaction is at the centre of interest. However, despite this fast evolution, there remains a significant research gap that needs to be addressed. It is essential for urban planners and designers to keep pace with technological advancements while simultaneously securing environment-friendly outcomes and fostering environmental sustainability. In this context, our work focuses on the challenges encountered by urban designers as they seek to transition toward smart, sustainable industrialized cities. Of a special concern is the inclusion of mobility, logistics features and digitalization of city supply chain management, where we consider the management pf physical, information and financial flows in modern urban areas

Hernie de Spiegel: a propos dun cas

La hernie de Spiegel ou hernie ventrale latérale est une déhiscence inhabituelle apparaissant sur la ligne ou fascia semi-lunaire de Spiegel. C’est une entité clinique rare, représente 0.10 à 1 pourcent des hernies. Aussi, nous a-t-il paru opportun de rapporter ce cas colligé dans le service de chirurgie B du CHU Hassan II de Fès. Nous rapportons l’observation d’une patiente âgée de 60 ans, sans antécédent particulier qui présentais une tuméfaction para ombilicale gauche augmentant progressivement de volume, Une hernie de Spiegel a été suspectée à l’examen clinique, et le diagnostic d’éventration antérolatérale gauche a été retenu à la tomodensitométrie abdominale. Une cure de la hernie par plaque de prolène a été réalisée et les suites opératoires étaient simples. La hernie de Spiegel est une affection rare, son diagnostic clinique peut être difficile. Elle est asymptomatique dans 90 pourcent des cas et Son diagnostic positif est radiologique. Le risque d’étranglement non négligeable impose un traitement chirurgical une fois le diagnostic est confirmé