Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Computer Engineering
Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy
Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy
Al-Bahir Journal for Engineering and Pure Sciences
The proliferation of social networking sites and their user base has led to an exponential increase in the amount of data generated on a daily basis. Textual content is one type of data that is commonly found on these platforms, and it has been shown to have a significant impact on decision-making processes at the individual, group, and national levels. One of the most important and largest part of this data are the texts that express human intentions, feelings and condition. Understanding these texts is one of the biggest challenges that facing data analysis. It is the backbone for understanding …
Principe Of Behavior Computing On Emotional Game, Guofeng Zhang, Wang Niu, Xiong Hu
Principe Of Behavior Computing On Emotional Game, Guofeng Zhang, Wang Niu, Xiong Hu
Journal of System Simulation
Abstract: Emotions is analyzed by mathematical statistics as an influence factor on behavior interaction in the current behavioral game researches. On the face of the status quo, premising emotion rationality that is the alternative to results rationality, a fresh emotional game computing principle was proposed by building emotion behavior schemata function. The suggested thought was applied to a modified ultimatum game computing, an emotional equilibrium outcome was obtained, and the psychological mechanism of the brave behavior was revealed. Meanwhile, the basic principle of pattern recognition to behavior selection mode was established. According to the constraint conditions of …
E-Learner's Emotion Regulation Model With Undirected Gaussian Graphical Model, Jiwei Qin, Turgun· Ibragim, Huiguo Zhang
E-Learner's Emotion Regulation Model With Undirected Gaussian Graphical Model, Jiwei Qin, Turgun· Ibragim, Huiguo Zhang
Journal of System Simulation
Abstract: Based on the absence of emotion in the background, e-Learner's emotion regulation model with simple variable can't fit the sparse and complex data in e-Learning, an e-Learner's emotion regulation model was proposed by Undirected Gaussian Graphical Model, which emphasized on many kinds of factor influences in emotion regulation. Correlation analysis, statistics, Gaussian undirected graph model fit the data to understand the relationship between data variables by using Chow-Liu algorithm, which searched for the smallest BIC forests and built e-learner's emotion regulation model based on the e-Learner's log. This model gives a basis for emotion regulation in e-Learning.