Cross-domain emotion classification system based on attention mechanism fusion
A technology of emotion classification and attention, applied in text database clustering/classification, semantic analysis, computer components, etc., can solve problems such as large amount of calculation
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[0019] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0020] The present invention provides a cross-domain emotion classification system based on attention mechanism fusion, including:
[0021] The text preprocessing module is used to obtain the vector form corresponding to the text in the source domain and the target domain;
[0022] Text semantic learning module, used for learning the semantic dependency between the words of the text vector obtained by the text preprocessing module;
[0023] The attention mechanism fusion module obtains the comprehensive weight of the words of the text vector to the text by fusing different attention methods;
[0024] The hierarchical attention module calculates the attention weight of the text from the word level and the sentence level respectively, judges the weight of the word to the sentence representation, and the weight of the sentence to the docume...
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