Text classification method and device, equipment and storage medium

The invention belongs to the field of computers, and discloses a text classification method and device, equipment and a storage medium. The method comprises the following steps: performing global feature extraction on a to-be-classified vector text through a preset bidirectional long-short term memory network to obtain global context features; performing local feature extraction on the to-be-classified vector text through a preset multi-scale dual model to obtain local features; performing feature splicing on the global context feature and the local feature to obtain a multi-scale feature vector; and obtaining a text classification result according to the multi-scale feature vector. The method comprises the following steps: performing global feature extraction and local feature extraction on a to-be-classified vector text, and performing feature splicing on the extracted global context features and local features to obtain a multi-scale feature vector; and obtaining a text classification result according to t