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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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Auteurs principaux: Cunli Mao, Haoyuan Liang, Zhengtao Yu, Yuxin Huang, Junjun Guo
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2021-11-01
Collection:Sensors
Sujets:
topic clustering
graph convolution network
multi-head attention mechanism
global feature
local feature
case-involved news
Accès en ligne:https://www.mdpi.com/1424-8220/21/22/7501
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