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Xuanyu Zhang, Hao Zhou, Ke Yu, Xiaofei Wu and Anis Yazidi
In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. On the other hand, classical mach...
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Shiqian Guo, Yansun Huang, Baohua Huang, Linda Yang and Cong Zhou
This paper proposed a method for improving the XLNet model to address the shortcomings of segmentation algorithm for processing Chinese language, such as long sub-word lengths, long word lists and incomplete word list coverage. To address these issues, w...
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Tingyao Jiang, Wei Sun and Min Wang
Sentence-level sentiment analysis, as a research direction in natural language processing, has been widely used in various fields. In order to address the problem that syntactic features were neglected in previous studies on sentence-level sentiment anal...
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Ye Yuan, Wang Wang, Guangze Wen, Zikun Zheng and Zhemin Zhuang
Product reviews provide crucial information for both consumers and businesses, offering insights needed before purchasing a product or service. However, existing sentiment analysis methods, especially for Chinese language, struggle to effectively capture...
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Jeffery T. H. Kong, Filbert H. Juwono, Ik Ying Ngu, I. Gde Dharma Nugraha, Yan Maraden and W. K. Wong
Social media has evolved into a platform for the dissemination of information, including fake news. There is a lot of false information about the current situation of the Coronavirus Disease 2019 (COVID-19) pandemic, such as false information regarding v...
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Xinlu Li, Yuanyuan Lei and Shengwei Ji
Sentiment analysis of online Chinese buzzwords (OCBs) is important for healthy development of platforms, such as games and social networking, which can avoid transmission of negative emotions through prediction of users? sentiment tendencies. Buzzwords h...
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Jian Wu, Yan Chen, Tiantian Gai, Yujia Liu, Yan Li and Mingshuo Cao
The Suez Canal blockage (SCB) event, one of the world?s major transportation arteries, has attracted significant public attention. This article proposes a new leader?follower public-opinion evolution model on the SCB under online social media, which cons...
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Andrey Bogdanchikov, Dauren Ayazbayev and Iraklis Varlamis
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or doc...
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Bingqing Wang, Bin Meng, Juan Wang, Siyu Chen and Jian Liu
Social media data contains real-time expressed information, including text and geographical location. As a new data source for crowd behavior research in the era of big data, it can reflect some aspects of the behavior of residents. In this study, a text...
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Yong Sun, Fengxiang Jin, Yan Zheng, Min Ji and Huimeng Wang
Severe air pollution problems have led to a rise in the Chinese public?s concern, and it is necessary to use monitoring stations to monitor and evaluate pollutant levels. However, monitoring stations are limited, and the public is everywhere. It is also ...
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