Application of Artificial Intelligence Key Technologies in Electricity Customer Service
The existing intelligent customer service systems have certain limitations,usually limited to handling sim-ple user queries,making it difficult to understand and respond to complex user expressions.In order to improve the accu-racy of semantic understanding in multi-turn conversations,an in-depth study is conducted on the application framework of electric power intelligent customer service,with language understanding as the core research field.A language compre-hension model based on the fusion of convolutional neural network(CNN)and attention mechanism has been proposed and successfully applied in the power intelligent customer service system.The experimental results show that this language understanding model,which integrates CNN and attention mechanism,performs well in semantic understanding tasks and can more accurately capture user intentions,thereby significantly improving the intelligence and usability of intelligent customer service systems.
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