使用自然语言处理(NLP)和文本分析的网络欺凌检测

Yeo Khang Hsien, Zailan Arabee Abdul Salam, Vinothini Kasinathan
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引用次数: 1

摘要

这个最后一年的项目是一个依赖于Twitter的应用程序,叫做使用自然语言处理和文本分析的网络欺凌检测,它专注于通过删除不适当的推文内容来处理网络欺凌,并通过电子邮件提醒父母、监护人和辅导员。该应用程序是为具有一般IT知识的学生设计的。它完全是使用Python编程语言开发的。此外,根据测试人员的反馈,开发人员还在应用程序中添加了实时更新白名单用户名的功能。开发人员认为,这款应用程序一定会通过解决网络欺凌问题来帮助保护学生的心理发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyber Bullying Detection using Natural Language Processing (NLP) and Text Analytics
This final year project is a Twitter dependant application called Cyberbullying Detection using Natural Language Processing and Text Analytics which focused on handling cyberbullying by removing inappropriate tweet content and alert the parents, guardian, and counsellor about the case via email. The application is designed for the student with general IT knowledge. It was fully developed using the Python programming language. Additionally, a feature to update the white-listed username in real-time has been added to the application by the developer based on the feedback from testers. The developer believed that this application will surely help in protecting the mental development of the student by tackling the cyberbullying issues.
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