2022
DOI: 10.1051/wujns/2022276465
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A Short Text Classification Model for Electrical Equipment Defects Based on Contextual Features

Abstract: The defective information of substation equipment is usually recorded in the form of text. Due to the irregular spoken expressions of equipment inspectors, the defect information lacks sufficient contextual information and becomes more ambiguous. To solve the problem of sparse data deficient of semantic features in classification process, a short text classification model for defects in electrical equipment that fuses contextual features is proposed. The model uses bi-directional long-short term memory in shor… Show more

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