Classification method and device for multiple rounds of conversations

The embodiment of the invention provides a classification method and device for multiple rounds of conversations. The classification method comprises the steps: obtaining multiple rounds of conversations between a target user and a robot; respectively inputting the user questions of each round of conversation in the multiple rounds of conversations into a first feature extraction model, and respectively outputting a first feature vector corresponding to each round of conversation through the first feature extraction model; according to the sequence of each round of conversation, adopting a self-attention mechanism for the first feature vector corresponding to the conversation before each round of conversation, and generating a second feature vector corresponding to each round of conversation; inputting the behavior characteristics of the preset historical behaviors of the target user into a second characteristic extraction model, and outputting a third characteristic vector through thesecond characteristic extraction model; and determining the category of the multi-round conversation at least according to the second feature vector and the third feature vector corresponding to eachround of conversation. The classification method can guarantee the effect of classifying multiple rounds of conversations.