A Text Sentiment Analysis Method

A sentiment analysis and text technology, applied in the field of text analysis, can solve problems such as difficult to capture, difficult to express the meaning of sentences accurately and efficiently, and no emotional tendency to express, and achieve the effect of efficient and accurate analysis

Active Publication Date: 2022-02-08
SOUTH CHINA NORMAL UNIVERSITY
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, not all the sentences we use in our daily life contain sufficient emotional information, or the emotional words are far away from the target words, making it difficult to be captured, and some sentences do not even express clear emotional tendencies, so Difficulty conveying the meaning of sentences accurately and efficiently

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
  • A Text Sentiment Analysis Method
  • A Text Sentiment Analysis Method
  • A Text Sentiment Analysis Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to make the purpose, technical solution and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0024] It should be clear that the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the embodiments of the present application.

[0025] When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar obje...

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 text sentiment analysis method, comprising: inputting the general semantic matrix, the structural semantic matrix, and the sentence initialization representation into the graph convolutional neural network, the cross network and the activation function, and obtaining the general semantic syntactic representation and the structural semantic syntactic representation of the sentence , and then combine the general semantic hidden representation and the structural semantic hidden representation of the sentence to calculate the target structure semantic syntax representation and the target general semantic syntax representation, splicing the target general semantic syntax representation and the target structure semantic syntax representation and masking non-attribute words, Get the attribute word feature representation of each word in the sentence, and then calculate the attention weight of each word in the sentence according to the word embedding representation and each attribute word feature representation, and output the sentence emotional pole based on the word embedding representation and the attention weight of each word sex. The text sentiment analysis method of the present invention can efficiently and accurately analyze the sentiment polarity of sentences in the text.

Description

technical field [0001] The invention relates to the technical field of text analysis, in particular to a text sentiment analysis method. Background technique [0002] Fine-grained sentiment analysis (ABSA) is an important task in natural language processing. For a given (sentence, attribute word) pair, it aims to judge the attribute word based on the context information related to the specific attribute word in the sentence. emotional polarity (eg, positive, neutral, negative). With the continuous development of the Internet and big data, sentiment analysis technology, which can automatically extract useful information from a large amount of text, has not only attracted the attention of many academic circles, but also is widely used in daily business activities, especially in social media. , e-commerce and social public opinion analysis and other fields. [0003] In the existing fine-grained sentiment analysis process, the main goal is to accurately find sentiment words th...

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): G06F40/30G06F40/284G06N3/04G06N3/08
CPCG06F40/30G06F40/284G06N3/08G06N3/044G06N3/045
Inventor 代安安薛云陈锦鹏
Owner SOUTH CHINA NORMAL UNIVERSITY
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