监控用户在社交网络中的可疑活动

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI:10.1109/ICICES.2017.8070737

Mercy Paul Selvan, R. Selvaraj

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引用次数: 5

摘要

随着今天互联网的高度使用，人们开始在网上分享很多信息。在本文中，我们建议监控Gmail和Twitter上的任何危险行为(如恐怖主义)的用户活动。我们运用自然语言处理(NLP)技术，如词性标注(POS tagging)、分块(Chunking)、词干提取(词干提取(词干提取)和WordNet处理(WordNet Processing)来提取关键字，并检查信息是否正常或有一点可疑或冒犯性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Monitoring Fishy activity of the user in social networking

With the high usage of internet today, people started sharing much of the information with each other online. In this paper, we propose to monitor user activity for any hazardous behavior like terrorism on Gmail and Twitter. We apply Natural Language Processing (NLP) techniques like POS tagging, Chunking, Stemming, and WordNet Processing to extract the keyword and check to see whether the information is normal or little suspicious or offensive.

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来源期刊

2017 International Conference on Information Communication and Embedded Systems (ICICES)

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