Sentence category recognition method and device, storage medium, and processor

A recognition method and category technology, applied in natural language data processing, electrical digital data processing, character and pattern recognition, etc., can solve the problems of sentence recognition accuracy and low efficiency, and achieve the effect of improving accuracy and efficiency

Active Publication Date: 2018-12-18
龙马智芯(珠海横琴)科技有限公司
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a sentence category recognition method and device, a storage medium, and a processor, so as to at least solve the techni

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
  • Sentence category recognition method and device, storage medium, and processor
  • Sentence category recognition method and device, storage medium, and processor
  • Sentence category recognition method and device, storage medium, and processor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0029] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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 discloses a sentence type identification method and device, a storage medium and a processor. The sentence type identification method comprises the following steps: receiving a statementclass identification request, wherein, the statement class identification request is used for requesting to identify the class to which the target statement belongs; obtaining the probability of thetarget statement belonging to each category by using the trained model. The category corresponding to the maximum probability is identified as the target category to which the target statement belongs. The invention solves the technical problems that the related technology adopts manual mode to identify the category to which the sentence belongs, and the sentence recognition accuracy and efficiency are low.

Description

technical field [0001] The present invention relates to the field of sentence recognition, in particular to a sentence type recognition method and device, a storage medium, and a processor. Background technique [0002] When we read a lot of documents on a topic, we are most concerned about several properties of the text, that is, we have several concerns about the text. For example: when we want to read tens of thousands of bidding documents, we can quickly find the specific bidding documents we are interested in only by reading our focus. But with the existing technology, we can't quickly locate and understand the part we care about. [0003] The existing attention-getting part is based on the recognition of sentences first, and sentence recognition is mostly marked and recognized manually. Human operations will be affected by human subjective factors, which will lead to low accuracy of sentence recognition and low efficiency. Not high either. [0004] Aiming at the pro...

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
IPC IPC(8): G06F17/27G06K9/62
CPCG06F40/216G06F40/279G06F40/289G06F18/214
Inventor 郑权张峰聂颖
Owner 龙马智芯(珠海横琴)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products