Semantic emotion analysis method, device, and equipment and storage medium

A semantic and emotional technology, applied in semantic analysis, neural learning methods, natural language data processing, etc., can solve problems such as the inability to capture the nonlinear dependence of words, obtain the emotional characteristics of sentences, and achieve accurate expression of sentences and obvious emotional tendencies Effect

Pending Publication Date: 2020-12-25
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a method for analyzing semantic sentiment, aiming at solving the technical problem of

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
  • Semantic emotion analysis method, device, and equipment and storage medium
  • Semantic emotion analysis method, device, and equipment and storage medium
  • Semantic emotion analysis method, device, and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] 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.

[0049] refer to figure 1 , the method for analyzing semantic emotion of an embodiment of the present application, comprising:

[0050] S1: Obtain the importance measure value corresponding to each word in the sentence to be analyzed;

[0051] S2: Obtain the implicit expression corresponding to the sentence to be analyzed through two cyclic neural network models running in parallel according to the importance metrics corresponding to each word in the sentence to be analyzed, wherein the implicit Expressions incorporate semantic dependencies of context;

[0052] S3: Input...

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 the field of intelligent decision in artificial intelligence, and discloses a semantic emotion analysis method, which comprises the steps of obtaining an importance metric value corresponding to each word in a to-be-analyzed statement; obtaining an implicit expression corresponding to the to-be-analyzed statement through two parallel running recurrent neural network modelsaccording to the importance metric value corresponding to each word in the to-be-analyzed statement; inputting the implicit expression corresponding to the to-be-analyzed statement and the sentence label corresponding to the to-be-analyzed statement into a semantic sentiment analysis classifier; and receiving an emotion analysis classification result of the semantic emotion analysis classifier for the to-be-analyzed statement. By introducing a self-attention mechanism, the importance of each word in the sentence is quantified through an importance measurement value, and then the meaning of the current word in the whole sentence is obtained according to the position of the important word, so that each word in the sentence and the corresponding importance measurement value thereof are fusedin the hidden state of the finally output whole sentence.

Description

technical field [0001] This application relates to the field of intelligent decision-making in artificial intelligence, in particular to a method, device, device and storage medium for analyzing semantic emotion. Background technique [0002] The earliest word-building model adopted was the bag-of-words model. The bag-of-words model regards a sentence as a simple collection of words, and combines them into a complete sentence through simple vector operations. With the development of deep learning, the application of neural networks is becoming more and more popular. RNN, as a sequential model, treats text as a sequence of words, which can effectively capture the relationship between time series variables, but the sequential model cannot distinguish sentence structures. The grammatical relationship in the sentence cannot determine the importance of each word in the sentence, which is not conducive to understanding the key points of the entire sentence, so it cannot recognize ...

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): G06F40/30G06F40/211G06F40/289G06F16/35G06N3/04G06N3/08
CPCG06F40/30G06F40/211G06F40/289G06F16/35G06N3/08G06N3/045
Inventor 邓悦郑立颖徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap