Abstract: To obtain matching features of two text expressions in the task of text matching, a text matching method based on enhanced convolutional neural network to obtain rich matching features is proposed. We captured sentence interactive features through the multi-layer alignment mechanism. The key characteristics obtained by enhanced CNN were used to capture the key features of sentences. Through a fusion method based on gating mechanism, the key features within sentences and the matching features between sentences were fused, and the gating network chose to strengthen the key matching information and weaken the local information unrelated to the matching text. Experimental results show that the model is effective.