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Romanian Journal of Information Technology and Automatic Control-Revista Romana de Informatica si Automatica最新文献

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Sentiment analysis for Arabic tweet about the COVID-19 Worldwide Epidemic 阿拉伯推特关于新冠肺炎全球疫情的情绪分析
Areej Alshutayri, Amal Alghamdi, Nouran Nassibi, N. Aljojo, Eman A. Aldhahri, O. Aboulola
The purpose of this article was to highlight the sentiment analysis for specific Arabic tweets related to the COVID-19 Worldwide Epidemic. The technique proposed in this paper focused on using the machine learning algorithm with the purpose of applying sentiment analysis on a dataset which contained 4,575 Arabic tweets on the COVID-19 pandemic while also employing the Logistic Regression and Naive Bayes algorithms as classifiers for comparing the achieved results between them. This study showed the suitability and efficiency of a system using machine learning models for the analysis of Arabic tweets. The experimental outcomes revealed that the highest accuracy was reached by employing the Logistic Regression algorithm", namely, 97%". Twitter is one of the most widely used gateways of social media for the people who want to express their opinions and emotions. This study contributes to highlighting the task of sentiment analysis for the Arabic tweets about the COVID-19 pandemic by predicting the people's awareness about the Coronavirus in the Arab World.
本文的目的是强调对与新冠肺炎全球流行相关的特定阿拉伯语推文的情绪分析。本文提出的技术侧重于使用机器学习算法,目的是对包含4575条关于新冠肺炎大流行的阿拉伯语推文的数据集应用情绪分析,同时还使用逻辑回归和朴素贝叶斯算法作为分类器,以比较它们之间取得的结果。这项研究表明了使用机器学习模型分析阿拉伯语推文的系统的适用性和效率。实验结果表明,采用Logistic回归算法达到了最高的准确率“,即97%”。推特是社交媒体中使用最广泛的门户之一,适合那些想表达自己观点和情绪的人。这项研究通过预测阿拉伯世界人们对冠状病毒的认识,有助于突出阿拉伯推文对新冠肺炎大流行的情绪分析任务。
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引用次数: 0
Dezvoltator e-Learning: program de formare specializată pentru predare online 开发者e-Learning:在线教学的专业培训计划
D. Banciu, Daniel Fodorean
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引用次数: 0
Implementarea unui mediu de Integrare Continuă 实施持续集成环境
Oana-Anastasia Minciu, I. Iacob, Anca Ioniță, Ştefan Mocanu
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引用次数: 0
Platformă pilot pentru identificarea și evaluarea indicatorilor de alertă timpurie pentru gestionarea situațiilor de criză 确定和评估危机管理预警指标的试点平台
V. Popescu, Victor Gânsac, Olivia Comșa, Marius Sorin Pistol, Cristian Ichimescu, Călin Mihai Rangu, M. Șcheau, Cătălin Cioacă
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引用次数: 0
Tehnici bazate pe algoritmi inteligenți folosiți în prevenția cancerului de piele 基于智能算法的皮肤癌症预防技术
Ioana Petcu, Dragoș Barbu, Silviu Negoiţă
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引用次数: 1
Sensing a Physical Object Gripping using Haptic Technology and Machine Learning Algorithms 使用触觉技术和机器学习算法感知物理物体的抓握
Swati Chowdhuri, Swati Barui, Sagnik Mondal, Sourav Mandal, B. Neogi
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引用次数: 0
Stimulente și recompense în sprijinul implementării științei deschise 支持实施开放科学的激励和奖励措施
E. Ciupercă, Adrian-Victor Vevera, Carmen Elena Cîrnu
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引用次数: 0
Measuring the maturity of Information Technology Governance based on COBIT 基于COBIT的信息技术治理成熟度度量
Heba A. Fasihuddin, Somayah Alharbi, Alanoud Alshehri, Azzah M. Alzahrani, Hanin Fatani
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引用次数: 1
Rolul trăsăturilor de personalitate în atacurile de inginerie socială 人格特征在社会工程攻击中的作用
I. Cristescu, E. Ciupercă, Carmen Elena Cîrnu
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引用次数: 0
Evaluarea satisfacției persoanelor vârstnice în utilizarea de tehnologii inteligente asistive: vINCI studiu de caz 老年人使用智能辅助技术的满意度评估:vINCI案例研究
Lidia Băjenaru, Ion Alexandru Marinescu, Mihaela Tomescu, Rozeta Drăghici
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引用次数: 0
期刊
Romanian Journal of Information Technology and Automatic Control-Revista Romana de Informatica si Automatica
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