Multi-model fusion training method and device and text classification method and device

Abstract

The embodiment of the invention provides a multi-model fusion training method and a text classification method and device. The multi-model fusion training method comprises the steps: performing targetcontent extraction and classification on text data, and constructing a target data set; performing fusion processing on a preset single classification network model, and constructing a multi-model fusion network structure; and training the multi-model fusion network structure based on the target data set to obtain a fusion classification network model. According to the multi-model fusion trainingmethod disclosed by the embodiment of the invention, the single classification network model can be fused with the learning ability of other models, and the generalization ability of the single classification network model is improved, so that the training efficiency and the recognition accuracy of the model are effectively improved.

Description

Technical field[0001]The invention relates to the technical field of big data processing, in particular to a multi-model fusion training method and device, and a text classification method and device. In addition, it also relates to an electronic device and a non-transitory computer-readable storage medium.Background technique[0002]In recent years, with the rapid development of information technology and the Internet, a large amount of electronic text data has been produced, making the research of text mining technology more and more important. How to extract valuable information from these vast text data and automatically retrieve, classify and summarize it is an important goal of text mining. Text Classification (Text Classification), or automatic text classification, refers to the process by which a computer maps a piece of text with information to a predetermined category or several categories of topics. As an efficient information retrieval and mining technology, it plays an im...

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Problems solved by technology

[0004] To this end, the embodiment of the present invention provides a multi-model fusion training method and device to solve the problem that the high-performance neural network model in the prior art has high requirements on the resource environment, and the traditional neural network model is used in the low-resource environment. The effect and accuracy of classification are poor

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