A DA-STCM Dual-channel Short Text Classification Method Based on Attention Mechanism

Short-text classification is an important and challenging task in natural language processing. Compared with long text, short text suffers from insufficient semantic information. Based on a lot of theoretical and experimental analysis, a two-channel short-text classification method, DA-STCM, is proposed. This method implements word correction by introducing the Aliyun service and introduces an attention mechanism in the channels to achieve weight assignment. Experimental results show that our proposed method is feasible in short-text classification, and the classification accuracy is significantly improved.