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

Text emotion recognition system and method

A recognition method and text technology, applied in the field of text emotion recognition system, can solve problems such as inability to judge emotion, and achieve the effect of reducing computational complexity and data dimension.

Active Publication Date: 2019-05-10
EMOTIBOT TECH LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of the existing text emotion recognition system is that when a certain text to be tested does not contain emotional keywords, it is impossible to judge the emotion presented by the text.

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 emotion recognition system and method
  • Text emotion recognition system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] combine figure 1 , the text emotion recognition system provided by this embodiment includes:

[0021] Text receiving device 1: used to receive the tested text and convert the tested text into a text vector;

[0022] Neural network layer 2: used to process text vectors to obtain text abstract representation data;

[0023] Linear layer 3: used to linearize the text abstract representation data to obtain linear data;

[0024] Sentiment analysis device 4: used to calculate the emotion label data corresponding to the tested text according to the linear data, and perform emotion recognition on the tested text through the emotion label data.

[0025] In the text emotion recognition system provided by the embodiment of the present invention, after receiving the tested text, it first converts the tested text into a text vector, and then inputs the text vector into the neural network layer 2 for processing to obtain the text corresponding to the tested text. The text abstract ...

Embodiment 2

[0033] combine figure 2 , the text emotion recognition method provided in this embodiment includes:

[0034] Step S1: the text receiving device 1 receives the tested text, and converts the tested text into a text vector;

[0035] Step S2: Neural network layer 2 processes the text vector to obtain text abstract representation data;

[0036] Step S3: the linear layer 3 linearizes the text abstract representation data to obtain linear data;

[0037] Step S4: The emotion analysis device 4 calculates the emotion label data corresponding to the tested characters according to the linear data, and performs emotion recognition on the tested characters through the emotion label data.

[0038]In the text emotion recognition method provided by the embodiment of the present invention, after receiving the tested text, first convert the tested text into a text vector, and then input the text vector into the neural network layer 2 for processing to obtain the text corresponding to the test...

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 provides a character emotion identification system and method. The system comprises a character receiving device, a neural network layer, a linear layer and an emotion analysis device, wherein the character receiving device is used for receiving tested characters and converting the tested characters into character vectors; the neural network layer is used for processing the character vectors to obtain character abstract representation data; the linear layer is used for carrying out linearization on the character abstract representation data to obtain linear data; and the emotion analysis device is used for calculating emotion label data corresponding to the tested characters according to the linear data, and carrying out emotion identification on the tested characters through the emotion label data. By use of the character emotion identification system and method, the tested character still can be subjected to the emotion identification when the tested characters do not contain emotion keywords.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a text emotion recognition system and method. Background technique [0002] With the continuous development of computer technology, emotion recognition has become an important research content in the field of human-computer interaction. At present, the text emotion recognition system usually first extracts the emotional keywords in a certain section of text to be tested, and then performs emotion matching on the extracted emotional keywords, and then recognizes the emotion of the section of text. However, the disadvantage of the existing text emotion recognition system is that when a certain text to be tested does not contain emotional keywords, it is impossible to judge the emotion presented by the text. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a text emotion recognition system and method, so that when the tes...

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 Patents(China)
IPC IPC(8): G06F17/27
CPCG06F40/205G06F40/30
Inventor 谢维容
Owner EMOTIBOT TECH 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