Cross-domain sentiment analysis method based on GCN under lifelong learning framework
A sentiment analysis, cross-domain technology, applied in the cross-domain sentiment analysis field based on GCN under the framework of lifelong learning, which can solve the problems of no translation invariance and different graph structures.
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[0043] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further elaborated below in conjunction with specific embodiments and accompanying drawings, but the following embodiments are only preferred embodiments of the present invention, not all . Based on the examples in the implementation manners, other examples obtained by those skilled in the art without making creative efforts all belong to the protection scope of the present invention.
[0044] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.
[0045] Dataset 1
[0046] In the design of the experimental CDS-GCN algorithm, we selected the cross-domain sentiment classification dataset written by Blitzer et al. as the experimental dataset. In this paper, the original part of the cross-domain sentiment classification dataset without data preprocessing...
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