Sentiment Analysis of Arabic Tweets in e-Learning

Article Properties
Cite
AL-Rubaiee, Hamed, et al. “Sentiment Analysis of Arabic Tweets in E-Learning”. Journal of Computer Science, vol. 12, no. 11, 2016, pp. 553-6, https://doi.org/10.3844/jcssp.2016.553.563.
AL-Rubaiee, H., Qiu, R., Alomar, K., & Li, D. (2016). Sentiment Analysis of Arabic Tweets in e-Learning. Journal of Computer Science, 12(11), 553-563. https://doi.org/10.3844/jcssp.2016.553.563
AL-Rubaiee H, Qiu R, Alomar K, Li D. Sentiment Analysis of Arabic Tweets in e-Learning. Journal of Computer Science. 2016;12(11):553-6.
Citations
Title Journal Journal Categories Citations Publication Date
Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA Journal of King Saud University - Computer and Information Sciences
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 15 2022
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 1 2022
Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

 Frontiers in Sustainable Cities
  • Science: Science (General)
  • Social Sciences: Social sciences (General)
  • Technology: Mechanical engineering and machinery: Renewable energy sources
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation: Environmental sciences
  • Social Sciences: Communities. Classes. Races: Urban groups. The city. Urban sociology: City planning
 6 2022
Stance Analysis of Distance Education in the Kingdom of Saudi Arabia during the COVID-19 Pandemic Using Arabic Twitter Data

 Sensors
  • Technology: Chemical technology
  • Science: Chemistry: Analytical chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
 4 2022
University students’ perspectives toward learning and assessment during COVID-19 Education and Information Technologies
  • Education: Theory and practice of education
  • Education
  • Social Sciences
 31 2021
Citations Analysis
Category Category Repetition
Science: Science (General): Cybernetics: Information theory4
Social Sciences3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Chemical technology2
Science: Chemistry: Analytical chemistry2
Science: Mathematics: Instruments and machines2
Science: Chemistry2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Education: Theory and practice of education1
Education1
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Bibliography. Library science. Information resources1
Bibliography. Library science. Information resources: Information resources (General)1
Technology: Mechanical engineering and machinery1
Science: Science (General)1
Social Sciences: Social sciences (General)1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Geography. Anthropology. Recreation: Environmental sciences1
Social Sciences: Communities. Classes. Races: Urban groups. The city. Urban sociology: City planning1
Social Sciences: Social history and conditions. Social problems. Social reform1
Social Sciences: Sociology (General)1
The category Science: Science (General): Cybernetics: Information theory 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predicting Rogue Content and Arabic Spammers on Twitter and was published in 2019. The most recent citation comes from a 2022 study titled Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction. This article reached its peak citation in 2022, with 4 citations. It has been cited in 10 different journals, 60% of which are open access. Among related journals, the Sensors cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year