基于过程挖掘的用户行为控制风格提取

Manne Vinay Kumar, Pulime Satya Sai, A. Selvi, Devarampati Venkata Sai Amarnadh
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引用次数: 0

摘要

互联网技术意味着欺凌并不局限于学校、学院、大学或道路场所。网络意味着网络欺凌可以在任何时间、任何地点发生,甚至在操场、家里等,通过智能设备、电子邮件、短信、WhatsApp消息和社交媒体,24 * 7 * 365。由于信息和通信技术的发展,网络恶霸可能会让世界上任何地方的任何人感到烦恼、危险或尴尬。网络欺凌事件有危险的担忧,如精神障碍;现在大多数媒体经常报道自杀事件。Twitter、YouTube、Facebook和Instagram等社交媒体以及WhatsApp、Kik等即时通讯系统被列为消费者反映网络欺凌问题比例最高的群体。在我们提出的框架中,这项工作是基于机器学习从Twitter推文中提取网络欺凌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracting User Behavioural Control Styles based on Process Mining
The Internet Technology implies that bullying is not restricted to schools, colleges, universities or road places. Internet means Cyber bullying can take place anytime, anywhere, even at playground, home etc, via smart devices, emails, SMS, WhatsApp messages, and social media, 24 * 7 * 365. Due to Information and Communication Technologies, cyber bullies can happen to annoy, endanger, or embarrass anyone from any part of the world. Cyber bullying Instances has dangerous concerns such as mentally disorder; suicide is now regularly stated in most of the media houses. Social media like Twitter, YouTube, Facebook, and Instagram and Messaging system like WhatsApp, Kik etc have been listed as the top groups with the maximum proportion of consumers registering problems of cyber bullying. In our proposed framework, this work is to extract the cyber bullying from Twitter Tweets based on Machine Learning.
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