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

Negative news recognition method based on emotion calculation and multi-head attention mechanism

A technology of emotional computing and recognition methods, applied in computing, special data processing applications, instruments, etc., can solve problems such as difficulty in identifying objective negative news

Pending Publication Date: 2020-04-10
BEIJING INFORMATION SCI & TECH UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Aiming at the deficiencies of the prior art, the technical problem solved by the present invention is how to solve the problem that objective negative news is difficult to identify

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
  • Negative news recognition method based on emotion calculation and multi-head attention mechanism
  • Negative news recognition method based on emotion calculation and multi-head attention mechanism
  • Negative news recognition method based on emotion calculation and multi-head attention mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited.

[0066] figure 1 A negative news recognition method based on emotional computing and multi-head attention mechanism is shown, including the following specific steps:

[0067] (1) Collecting and preprocessing network news text data, including the following specific sub-steps:

[0068] 1) Utilize the regular expression to identify the URL script content in the data, and delete it;

[0069] 2) Use the traditional and simplified Chinese conversion function provided by the Hanlp toolkit to convert traditional Chinese characters into simplified Chinese characters;

[0070] 3) Length distribution of statistical text, such as figure 2 shown.

[0071] Depend on figure 2 It can be seen that the data length of the news text is mostly within 1000 characters, and the present invention truncates part of 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 discloses a negative news recognition method based on emotion calculation and a multi-head attention mechanism, relates to the technical field of network public opinion monitoring, and solves the technical problem of how to solve the problem that objective negative news is difficult to identify, and the negative news recognition method comprises the following specific steps: (1) collecting and preprocessing network news text data; (2) establishing and expanding a negative emotion seed word bank and calculating the susceptibility; (3) performing vectorization representation, and determining the input of a discrimination model; (4) establishing a negative news discrimination model; and (5) carrying out negative news recognition. According to the method, the problem that the negative news is difficult to identify is effectively solved, and a good effect is achieved in the aspects of recognition accuracy and effectiveness of the negative news text.

Description

technical field [0001] The invention relates to the technical field of network public opinion monitoring, in particular to a negative news identification method based on emotion calculation and multi-head attention mechanism. Background technique [0002] With the advent of the self-media era, online news has become an important carrier of information transmission, with the characteristics of fast transmission, wide influence, and multiple channels. Online news comes from multiple portal websites, and the amount of news generated every day at home and abroad is huge. Internet news is like a double-edged sword. Good news can make people quickly understand the current hot events, and bad news will directly affect the security and stability of the country. The online news platform is an intricate social environment. Different journalists have their own unique opinions on reporting the same event, and it is easy to have some one-sided understandings, leading to behaviors that e...

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): G06F16/35G06F16/33G06F16/9535G06F40/30
CPCG06F16/35G06F16/3344G06F16/9535
Inventor 张仰森周炜翔黄改娟
Owner BEIJING INFORMATION SCI & TECH UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com