Text semantic recognition method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of natural language processing, and provides a text semantic recognition method and device, computer equipment and a storage medium. The text semantic recognition method comprises the steps: calculating a character vector of a text character in a target text and a word vector of each text segmented word; splicing the word vector of each text character with the word vector of the text word segmentation to obtain a spliced vector of the text character; sequentially inputting the word vectors and the splicing vectors of the text characters into a firstneural network according to a forward appearance sequence of the text characters in the target text to obtain a first text feature; according to the reverse appearance sequence of the text charactersin the target text, sequentially inputting the word vectors and the splicing vectors corresponding to the text characters into a second neural network to obtain second text features; and inputting acomprehensive text feature obtained by splicing the first text feature and the second text feature into a third neural network to obtain a semantic type of the target text. By adopting the text semantic recognition method, the accuracy of text semantic recognition is improved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular to a text semantic recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of the Internet, text semantic recognition technology has been more and more widely used. Especially in the field of intelligent question answering, in order to accurately answer user inquiries, it is usually necessary to convert the voice input by the user into text data, further perform semantic recognition on the text data, and judge the true meaning expressed by the text data, so as to answer the user accurately and quickly. The question asked. [0003] In terms of network platforms, in order to maintain the civilization of network language and improve user experience, text semantic recognition technology is usually used to identify the semantic meaning of text published on the network, so as to identify semantic ...

AI Technical Summary

Problems solved by technology

[0004] At present, most text semantic analysis technologies use keyword matching methods for processing, which need to build a keyword database in advance, and match the text to be recognized with the keywords in the constructed database to identify sensitive words. Unrecorded keywords cannot accurately identify their semantics, that is to say, the coverage of keywords limits the accuracy of text semantic recognition, which makes the accuracy of text semantic recognition lower

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