工作专业人员对在线学习系统的行为和情绪:情绪分析

Venkata Ramana Attili, Sreenivasa Rao Annaluri, Suresh Reddy Gali, Ramasubbareddy Somula
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引用次数: 2

摘要

学生在课堂上的行为取决于各种影响因素(如家庭、朋友、地点、习惯等)。一旦学生在毕业后进入职业生活,由于各种问题,很难回到学习过程中。在这种情况下,大多数学生选择在线课程来提高他们的技能,或者通过升级他们的学位来获得工作上的晋升。由于近年来技术的巨大发展以及对创新技术的需求,工作专业人员参加在线课程的趋势正在迅速增加。在本文中,对来自不同工作领域的各种参与者进行了详细的研究,通过使用Hadoop,大数据和R-Language分析他们的行为和情绪来研究工作专业人员的情绪。利用RFacebook API,利用R编程对学生的功能进行了分析。调查结果显示,89%的职场人士的行为是积极的,75%的人对在线课程感到满意。然而,许多在线课程的学生也表现出了懒惰的倾向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behaviour and Emotions of Working Professionals Towards Online Learning Systems: Sentiment Analysis
Student behaviour in the classroom depends on various influential factors (such as family, friends, locality, habits, etc.). Once a student enters into professional life after completing the graduation, it finds it difficult to get back to the learning process due to a variety of issues. In such situations, most of the students go for online courses to improve their skills or to get a promotion at work by upgrading their academic degrees. The tendency of working professionals attending online classes is increasing rapidly due to the vast development in technology in recent times and due to the demand for innovative Secunderabad, e technologies. In this paper, a detailed study on a variety of participants from different work domains was carried out to study the sentiments of working professionals by analysing their behaviour and emotions using Hadoop, big data, and R-Language. Using the RFacebook API, the functioning of the students was analysed in this work by using R programming. Results have shown that the behaviour of 89% working professionals is positive, and emotionally, 75% were satisfied with online courses. However, the tendency of being lazy was also expressed by many for online courses.
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