首页|University of Science and Technology Beijing Researchers Yield New Data on Machi ne Learning (Chinese Cyberbullying Detection Using XLNet and Deep Bi-LSTM Hybrid Model)
University of Science and Technology Beijing Researchers Yield New Data on Machi ne Learning (Chinese Cyberbullying Detection Using XLNet and Deep Bi-LSTM Hybrid Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "The po pularization of the internet and the widespread use of smartphones have led to a rapid growth in the number of social media users." Financial supporters for this research include National Key Research And Develop ment Program of China. Our news journalists obtained a quote from the research from University of Scien ce and Technology Beijing: "While information technology has brought convenience to people, it has also given rise to cyberbullying, which has a serious negativ e impact. The identity of online users is hidden, and due to the lack of supervi sion and the imperfections of relevant laws and policies, cyberbullying occurs f rom time to time, bringing serious mental harm and psychological trauma to the v ictims. The pre-trained language model BERT (Bidirectional Encoder Representatio ns from Transformers) has achieved good results in the field of natural language processing, which can be used for cyberbullying detection. In this research, we construct a variety of traditional machine learning, deep learning and Chinese pre-trained language models as a baseline, and propose a hybrid model based on a variant of BERT: XLNet, and deep Bi-LSTM for Chinese cyberbullying detection. I n addition, real cyber bullying remarks are collected to expand the Chinese offe nsive language dataset COLDATASET."
University of Science and Technology Bei jingBeijingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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