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30 November 2022 Short text classification method based on enhanced word vector and ACBiGRU model
Shiyong Xiong, Junjie Yi
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Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124561O (2022) https://doi.org/10.1117/12.2659323
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China
Abstract
In the process of short text classification, the problems of sparse features and fuzzy semantics are often encountered, and the word vectors trained by traditional methods cannot accurately express text features. To enhance the expression effect of text features, this paper introduces part-of-speech features to enhance the semantic expression of features. On this basis, an ACBiGRU classification model based on enhanced word vectors is proposed. The model takes the enhanced word vector as input, uses the CNN network to extract the features initially and highlight the local features of the text, a then uses the BiGRU network to learn and combined with the attention mechanism to highlight key information.
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Shiyong Xiong and Junjie Yi "Short text classification method based on enhanced word vector and ACBiGRU model", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124561O (30 November 2022); https://doi.org/10.1117/12.2659323
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KEYWORDS
Classification systems
Convolution
Data modeling
Feature extraction
Neural networks
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