A weakly-supervised graph-based joint sentiment topic model for multi-topic sentiment analysis

journal contribution

posted on 2022-12-04, 02:54 authored by Tao ZhouTao Zhou, Kris LawKris Law, Douglas CreightonDouglas Creighton

A weakly-supervised graph-based joint sentiment topic model for multi-topic sentiment analysis

History

Journal

Information Sciences

Volume

609

Pagination

1030-1051

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.ins.2022.07.126

ISSN

0020-0255

eISSN

1872-6291

Language

eng

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000848146300006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

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Keywords

Self-training Joint sentiment-topic model Multi-topic sentiment analysis Edge-gated graph convolutional network

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All Rights Reserved

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