Method and system for text sentiment analysis and processing

A sentiment analysis and processing method technology, applied in the field of data analysis, can solve the problems that the results are not accurate enough, and the features cannot contain semantic information, syntactic information and emotional information at the same time, and achieve the effect of high accuracy

Inactive Publication Date: 2017-10-13
GUILIN UNIV OF ELECTRONIC TECH
View PDF1 Cites 53 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In the existing technology, when analyzing the emotional polarity of text, the extracted features cannot contain semantic information, syntactic information and emotional information at the same time, so the extracted results are not accurate enough

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
  • Method and system for text sentiment analysis and processing
  • Method and system for text sentiment analysis and processing
  • Method and system for text sentiment analysis and processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0057] figure 1 A flowchart of a text sentiment analysis processing method provided by an embodiment of the present invention;

[0058] Such as figure 1 As shown, a text sentiment analysis processing method is suitable for execution in a computing device, comprising the following steps:

[0059] Step S1: Segment the collected text according to the word segmentation tool to obtain text segmentation;

[0060] Step S2: perform word vector training on the obtained text segmentation according to the word vector tool, and obtain a binary file of the text segmentation, which includes the word vector of the text segmentation;

[0061] Step S3: Extracting the emotional feature phrase from the binary file according to the ...

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 method and system for text sentiment analysis and processing. The method comprises the steps that word segmentation is conducted on a text; word vector training is conducted on segmented words of the text, so a binary file is obtained; sentiment characteristic word groups are extracted from the binary file, and syntax characteristic information and sentiment characteristic information are acquired from the word groups; characteristic integration is conducted on the syntax characteristic information and the sentiment characteristic information, so text characteristics containing syntaxes and sentiment information are obtained; the word vectors and the sentiment characteristic information in the binary file are integrated, so word vectors containing the sentiment information are obtained; the word vectors are extracted, so semantic characteristics containing the sentiment information are obtained; and the text characteristics containing the syntax and sentiment information are integrated with the semantic characteristics containing the sentiment information, so grammar information, semantic information, syntax information and sentiment information of the text can be obtained. According to the invention, the problem in the prior art, that the extracted characteristics cannot contain the semantic information, syntax information and sentiment information at the same time, can be solved; and results obtained are highly accurate.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a method and system for text sentiment analysis and processing. Background technique [0002] With the vigorous development of communication Internet technology and the advent of the web3.0 era, the Internet has gradually shifted from a one-way communication model to an open architecture concept that takes users as the center and enables everyone to participate. Internet users no longer just read web pages but can write their own opinions on web pages, changing from passively accepting Internet information to actively accepting and disseminating Internet information. Internet applications such as microblogs, blogs, forums, news and product reviews have produced a large number of user-participated, subjective and valuable commentary information on people, events, and products. By analyzing the emotional direction of these comments, the government can better understand the p...

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): G06F17/27G06N3/04
CPCG06F40/289G06F40/30G06N3/045
Inventor 黄文明杜梦豪孙晓洁卫万成
Owner GUILIN UNIV OF ELECTRONIC TECH
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