基于语义嵌入模型的Kafka平台发布订阅信息分类方法

Classification Method of Publish and Subscribe Information Based on Semantic Embedding Model in Kafka Platform

传统方法在分类的过程中存在分拣错误和速度慢等问题,因此提出了基于语义嵌入模型的Kafka平台发布订阅信息分类方法,使用语义嵌入模型更好地对Kafka平台发布的订阅信息进行分类和搜索。

In the traditional classification process,problems such as sorting errors and slow speeds will occur.Therefore,a classification method of Kafka platform publication and subscription information based on semantic embedding model is proposed,use the semantic embedding model to better classify and search the subscription information published by the Kafka platform.