Research on online user comments in artificial intelligence times

In this era of artificial intelligence, the online user comment in the e-commerce platform contains a lot of valuable information. Mining and analyzing these online comments can help enterprises and organizations better understand the clients' needs, attitudes and concerns. Based on studies on word of mouth, automatic tag generation, and deep learning technologies, this paper uses Long Short-Term Memory (LSTM) as a hidden layer neuron, introduces the attention mechanism, captures information in text sequences, understands user comment text, and builds a model of automatic tags generation. The model can be used to help consumers make smarter shopping decisions and help merchants make better business decisions.