通过分析一个人的社交媒体资料(Facebook)来识别他们的犯罪倾向

Sajjad Khan, Z. Jan
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引用次数: 0

摘要

社交网络成为人们生活的重要组成部分。在过去的十年中,社交网络的使用在很大程度上增加了。人们在网上发布自己的内容,通过发布状态、链接、视频、图片、评论(Facebook)来传达自己的想法。在过去的十年里,社交网络的使用迅速增加,在这些网络上发布了大量的数据,人们分享他们的个人信息和对他们生活的见解。本文对五大人格模型进行了深入的研究,认为神经质反映了人的犯罪心理,采用文本挖掘算法,从包含愤怒、焦虑、压力、抑郁等神经质词汇的文本信息(状态、评论等)中提取必要的信息,并利用这些词汇进行预测。本文的主要目的是从社交网站(FACEBOOK)上分享的信息中发现个人的犯罪倾向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
To Identify the Criminal tendency of a Person by analysis of their social media profiles (Facebook)
The social networks become the important part of the life. During the last decade, use of social networks has increased to a great extent. People publish their content on the web they use to convey their idea by posting statuses, links, videos, images, comments(Facebook). The use of social networks rapidly increased during the last decade and there is huge amount of data publish on these networks People share their personal information and insights of their lives. In this paper we thoroughly studied five big personality models and come to the point that neuroticism reflects the criminal mind of person, we are using the text mining algorithm, which will be used to extract necessary information from the text massages (statuses, comments etc.) containing neuroticism words e.g. anger, anxiety stress, depression etc. and by using these words prediction can be made. The main aim of this paper is to find the crime tendency in person from the information they share on social networking site (FACEBOOK).
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