Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Text recognition method and device, computer equipment and storage medium

A text recognition and text technology, applied in the fields of computer equipment and storage media, text recognition methods, and devices, can solve the problems of unrecognizable network new words and field new words, poor dictionary scalability and generalization ability, and text recognition accuracy Low-level problems, to achieve the effect of solving poor generalization ability, improving determination accuracy, and enhancing generalization performance

Active Publication Date: 2021-06-18
TENCENT TECH (SHENZHEN) CO LTD
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current text recognition method is to extract the evaluation elements in the text to be recognized based on the dictionary, and then determine the text classification label of the text to be recognized according to the evaluation elements; Words and new words in the field cannot be recognized, resulting in incomplete extracted evaluation elements, resulting in low text recognition accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Text recognition method and device, computer equipment and storage medium
  • Text recognition method and device, computer equipment and storage medium
  • Text recognition method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0040] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a natural language processing technology in artificial intelligence, in particular to a text recognition method and device, computer equipment and a storage medium, and can be applied to scenes such as electronic commerce, news information, microblog forum and vehicle-mounted recommendation. The method comprises the following steps: acquiring a grammatical relationship sequence of a to-be-recognized text; if the grammatical relationship sequence of the to-be-recognized text comprises at least two grammatical relationship sequences in preset grammatical relationship sequences, determining a feature word position tag in the to-be-recognized text according to one grammatical relationship sequence in the at least two grammatical relationship sequences; determining feature words in the to-be-recognized text according to the feature word position tags in the to-be-recognized text; and determining a text recognition result of the to-be-recognized text according to the feature words in the to-be-recognized text. By adopting the method, the determination accuracy of the feature words in the to-be-recognized text is improved, so that the text recognition accuracy is improved, and the effectiveness of a data analysis result of big data is ensured.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular to a text recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of Internet technology, various texts on the Internet emerge in endlessly; in order to determine the text classification label of the text, it is necessary to recognize the text. [0003] However, the current text recognition method is to extract the evaluation elements in the text to be recognized based on the dictionary, and then determine the text classification label of the text to be recognized according to the evaluation elements; Words and new words in the field cannot be recognized, resulting in the incompleteness of the extracted evaluation elements, resulting in a low accuracy rate of text recognition. Contents of the invention [0004] Based on this, it is necessary to provide a text recognition method, device, co...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/211G06F40/242G06F40/253G06F40/279G06F40/30
CPCG06F16/355G06F40/211G06F40/242G06F40/253G06F40/279G06F40/30
Inventor 刘志煌
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products