基于情感分析的网络欺凌检测

Dr. C. Sunitharam, P. Nandini, Rakshita K
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引用次数: 0

摘要

这些天来,社交媒体被广泛使用。这反映在一种被称为网络欺凌的强迫行为上。恶霸们利用生动的社区点,用令人讨厌的反馈和帖子攻击受害者。这是毁灭性的,许多年轻人陷入绝望,自杀,失去自信,甚至更多。由于不为人知和缺乏监督,这种形式的欺凌行为呈指数级增长。它也确实是微妙和艰难的表现类似的时代。这让我们发现了一种帮助凡人的方法,并保护他们免受类似的脆弱攻击。机器学习具有生动的算法,可以帮助我们检测网络欺凌,其中许多算法通过初级的我们到一流的规则集胜过其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Cyber-Bullying Through Sentimental Analysis
social media is being notably used these days. This has reflected in a sort of coercion known as cyberbullying. Bullies use vivid community spots to assault victims with obnoxious Feedback and posts. This has been so ruinous that numerous youngsters suffer despair, commit self-murder, lose their tone of confidence, and plenty less. With obscurity and a deficit of Supervision this form of bullying has advanced exponentially. It is also veritably delicate and tough to show similar times. This leads us to discover a way to help mortal beings out and shield them from similar vulnerable assaults. Machine Learning has vivid algorithms that help us in detecting cyber-bullying with many Algorithms outperforming the others there through abecedarian us to the First- class set of regulations.
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