A Clustering Method of Case-Involved News by Combining Topic Network and Multi-Head Attention Mechanism

Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods usually based on topic models which only use topic and case infomation as the global features of documents, so distinguishing between differe...

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Автори:	Cunli Mao, Haoyuan Liang, Zhengtao Yu, Yuxin Huang, Junjun Guo
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2021-11-01
Серія:	Sensors
Предмети:	topic clustering graph convolution network multi-head attention mechanism global feature local feature case-involved news
Онлайн доступ:	https://www.mdpi.com/1424-8220/21/22/7501
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A Clustering Method of Case-Involved News by Combining Topic Network and Multi-Head Attention Mechanism

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