Supercharge Your Innovation With Domain-Expert AI Agents!

Text sentiment analysis method and system based on natural language processing

A technology of natural language processing and sentiment analysis, applied in the field of text sentiment analysis based on natural language processing, can solve problems such as wrong judgment of sentiment, poor classification effect, low accuracy rate, etc., and achieve the goal of improving accuracy and avoiding misjudgment of text sentiment Effect

Active Publication Date: 2020-09-04
GUANGZHOU YUNRUNDA DATA SERVICES CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the text sentiment analysis results obtained by the existing text sentiment analysis methods are prone to the problem of wrong judgment of sentiment, poor classification effect and low accuracy.

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 sentiment analysis method and system based on natural language processing
  • Text sentiment analysis method and system based on natural language processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] see figure 1 , which is a flowchart of a text sentiment analysis method based on natural language processing in the present invention, and the text sentiment analysis method based on natural language processing includes:

[0052] S1: collect the text to be recognized;

[0053] S2: Perform semantic scene analysis on the text to be recognized, and obtain the emotional subject and theme of the text to be recognized;

[0054] S3: According to the preset emotio...

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 text sentiment analysis method and system based on natural language processing. The text sentiment analysis method based on natural language processing includes collecting text to be recognized; performing semantic scene analysis on the text to be recognized, and obtaining the Describe the emotional subject and theme of the text to be identified; according to the preset emotional vocabulary comparison table, respectively judge the emotional subject of the text to be identified and the emotional tendency of the theme; according to the emotional subject of the text to be identified and the theme Emotional tendency, judging the emotional tendency of the text to be recognized. The text sentiment analysis method based on natural language processing can effectively avoid the problem of text sentiment misjudgment, and improve the accuracy of complex text sentiment judgment.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a text sentiment analysis method based on natural language processing. Background technique [0002] With the development of the Internet, various network applications emerge spontaneously. Netizens can post all kinds of speeches on the Internet, thus generating a large amount of text information. The data sources of these information can be blogs, forums, microblogs, etc. These comment information express the various emotions and emotional tendencies of users, which not only provides a platform for merchants to display information, but also provides a platform for consumers (that is, users ) provides a platform for product experience exchange. How to extract this type of text with emotion from these massive texts, and analyze and research the text emotion, has a strong application value. For example, users can understand the information of the product based on the pr...

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): G06F16/35G06F40/30G06K9/62
CPCG06F16/35G06F40/30G06F18/241
Inventor 晋彤张中弦
Owner GUANGZHOU YUNRUNDA DATA SERVICES CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com