METHOD AND APPARATUS FOR TRAINING A CLASSIFICATION NEURAL NETWORK, TEXT CLASSIFICATION METHOD AND APPARATUSES, AND DEVICE

摘要

Provided are a method and apparatuses for training a classification neural network, a text classification method and apparatus and an electronic device. The method includes: acquiring a regression result of sample text data, which is determined based on a pre-constructed first target neural network and represents a classification trend of the sample text data; inputting the sample text data and the regression result to a second target neural network; obtaining a predicted classification result of each piece of sample text data based on the second target neural network; adjusting a parameter of the second target neural network according to a difference between the predicted classification result and a true value of a corresponding category; and obtaining a trained second target neural network after a change of network loss meets a convergence condition. The second target neural network is trained better, and accuracy of subsequent text data classification is improved.