Text classification method and apparatus, text processing method and apparatus, computer device and storage medium

A text classification apparatus which is applied to a server, comprising:

• a first acquisition unit configured to acquire a topic text to be classified and tag description information of at least one topic tag to be predicted;
• an extraction unit configured to extract a first text feature of the topic text to be classified and extract a tag description feature of the tag description information of each topic tag to be predicted;
• a first determination unit configured to determine a tag correlation between the first text feature and each tag description feature to obtain at least one tag correlation;
• and
• a second determination unit configured to determine a first topic tag matching with the topic text to be classified from the at least one topic tag to be predicted based on the at least one tag correlation;
• wherein the first acquisition unit is further configured to:
• acquire original text data to be processed, and determine a text type identifier contained in the original text data;
• and
• determine a data partitioning position of the original text data based on the text type identifier, and partition the original text data based on the data partitioning position to obtain the topic text to be classified and the tag description information,
• wherein, the extracting a first text feature of the topic text to be classified, and the extracting a tag description feature of the tag description information of each topic tag to be predicted comprise:
• extracting the first text feature of the topic text to be classified through a feature extraction layer in a text classification model, and extracting the tag description feature of the tag description information of each topic tag to be predicted, wherein the text classification model is part of a neural network;
• the determining a tag correlation between the first text feature and each tag description feature to obtain at least one tag correlation comprises:
• determining the tag correlation between the first text feature and each tag description feature through a correlation determination layer in the text classification model to obtain the at least one tag correlation;
• and
• the determining a first topic tag matching with the topic text to be classified from the at least one topic tag to be predicted based on the at least one tag correlation comprises:
• determining the first topic tag matching with the topic text to be classified from the at least one topic tag to be predicted based on the at least one tag correlation through a classification layer in the text classification model.