情感分析中使用混合方法识别潜在的网络欺凌推文

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI:10.1109/ICEECCOT43722.2018.9001476

Akankshi Mody, Shreni N. Shah, Reeva Pimple, N. Shekokar

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引用次数: 4

摘要

随着互联网的兴起，网络欺凌变得越来越普遍。网络欺凌造成了如此灾难性的后果，迫切需要发现它。本研究的目的是通过使用情感分析来做同样的事情。我们使用自然语言处理和机器学习技术对tweet使用新手方法执行网络欺凌检测。在处理完一条推文后，如果这条推文是潜在的网络欺凌威胁，它就会被标记下来。

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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Identification of Potential Cyber Bullying Tweets using Hybrid Approach in Sentiment Analysis

With the rise of the Internet, cyber bullying is becoming more and more widespread. Cyber bullying has resulted in such disastrous consequences that there is a pressing need to detect it. The aim of this study is to do the same by using sentiment analysis. We perform cyber bullying detection using a novice approach on Tweets using Natural Language Processing and Machine Learning techniques. After processing a tweet, it can be flagged down if the tweet is a potential cyber bullying threat.

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来源期刊

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)

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