Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to detection the sentiment polarity towards a given aspect. Recently, graph neural models over the dependency tree are widely applied for aspect-based sentiment analysis. Most existing works, however, they general...

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Vydáno v:	Knowledge-based systems Ročník 235; s. 107643
Hlavní autoři:	Liang, Bin, Su, Hang, Gui, Lin, Cambria, Erik, Xu, Ruifeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 10.01.2022 Elsevier Science Ltd
Témata:	Affective knowledge Artificial neural networks Aspect sentiment analysis Context Data mining Dependency Exploitation Graph convolutional networks Graph neural networks Graphs Knowledge Networks Neural networks Novels Polarity Sentences Sentiment analysis Words Affective knowledge Aspect sentiment analysis Sentiment analysis Graph convolutional networks
ISSN:	0950-7051, 1872-7409
On-line přístup:	Získat plný text
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