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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Bibliographic Details

Published in:	Sensors
Main Authors:	Cunli Mao, Haoyuan Liang, Zhengtao Yu, Yuxin Huang, Junjun Guo
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Subjects:	topic clustering graph convolution network multi-head attention mechanism global feature local feature case-involved news
Online Access:	https://www.mdpi.com/1424-8220/21/22/7501