9   Artículos

 
en línea
Naglaa Abdelhady, Ibrahim E. Elsemman, Mohammed F. Farghally and Taysir Hassan A. Soliman    
Due to the widespread distribution of coronavirus and the existence of a massive quantity of data on social networking sites, particularly Twitter, there was an urgent need to develop a model that evaluates users? emotions and determines how they feel ab... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Arwa Alqarni and Atta Rahman    
The World Health Organization (WHO) declared the outbreak of Coronavirus disease 2019 (COVID-19) a pandemic on 11 March 2020. The evolution of this pandemic has raised global health concerns, making people worry about how to protect themselves and their ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Husam M. Alawadh, Amerah Alabrah, Talha Meraj and Hafiz Tayyab Rauf    
Internet use resulted in people becoming more reliant on social media. Social media have become the main source of fake news or rumors. They spread uncertainty in each sector of the real world, whether in politics, sports, or celebrities? lives?all are a... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Arwa A. Al Shamsi and Sherief Abdallah    
Recently, extensive studies and research in the Arabic Natural Language Processing (ANLP) field have been conducted for text classification and sentiment analysis. Moreover, the number of studies that target Arabic dialects has also increased. In this re... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ali Al-Laith, Muhammad Shahbaz, Hind F. Alaskar and Asim Rehmat    
At a time when research in the field of sentiment analysis tends to study advanced topics in languages, such as English, other languages such as Arabic still suffer from basic problems and challenges, most notably the availability of large corpora. Furth... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Raghad Alshalan and Hend Al-Khalifa    
With the rise of hate speech phenomena in the Twittersphere, significant research efforts have been undertaken in order to provide automatic solutions for detecting hate speech, varying from simple machine learning models to more complex deep neural netw... ver más
Revista: Applied Sciences    Formato: Electrónico

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