Emergency public opinion evolution analysis method based on sentiment analysis and theme features

A technology for emergency and emotion analysis, applied in the fields of instruments, electrical digital data processing, data processing applications, etc., can solve problems such as no mathematical model, no discovery plan, etc., to avoid the phenomenon of emotional polarization.

Pending Publication Date: 2020-01-24
TIANJIN UNIV
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, although some scholars have conducted in-depth analysis of the characteristics of public opinion and given some definitions of key points of public ...

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
  • Emergency public opinion evolution analysis method based on sentiment analysis and theme features
  • Emergency public opinion evolution analysis method based on sentiment analysis and theme features
  • Emergency public opinion evolution analysis method based on sentiment analysis and theme features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0073] figure 2 Dynamic topic model (DTM) process, where z is the hidden variable (ie topic) corresponding to each word in the corpus, θ is the topic distribution of each document, is the word distribution for each topic, randomly initialized z, θ and It can be obtained by likelihood estimation.

[0074] Take the Weibo emergency "Zika virus" as an example. First, the time series public opinion evolution trend curve of Zika virus events on Weibo is calculated, as shown in image 3 shown. It can be seen from the figure that the Zika virus incident began to appear on September 30, 2016. Over time, the number of microblogs on this topic continued to increase, and there was a sharp increase on October 8 and October 13. It peaked on October 18.

[0075] Using the network public opinion evolution method based on sentiment analysis, the Zika virus data is time-sliced ​​based on the sentiment value and text similarity respectively, and the keyword popularity analysis is carried...

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 an emergency public opinion evolution analysis method based on sentiment analysis and theme features. The emergency public opinion evolution analysis method mainly comprises the steps: firstly carrying out the word segmentation of a data text through employing a word segmentation method based on character string matching according to the features of Chinese word segmentation; secondly, utilizing synonym linguistic data to extend weights and features of words after word segmentation, and calculating emotion values; then calculating and carrying out time slicing on the data based on the emotion difference value; and finally, taking the data after the time slicing as the input of a dynamic topic model (DTM) so as to obtain the change and the popularity of the topic word of the emergency in a time sequence, predicting the development trend of the emergency, and verifying the effect of sentiment analysis in a topic evolution process by comparing with a topic evolution result only considering the text similarity slicing.

Description

technical field [0001] The invention belongs to the field of natural language processing, and specifically relates to a method for analyzing the evolution of emergency public opinion of emotional analysis and theme features, which is to excavate the emotions expressed by netizens under emergency events. Background technique [0002] At present, the traditional method of studying the changes in the observed values ​​of the number of comments on public opinion to obtain the development trend of public opinion, although the time series analysis directly takes the observation data corresponding to the state of things at different moments as the research object, through analysis And study the characteristics of time series data to establish a time series model, and then discover and describe the law of things that change over time on the basis of the fitted model. For the analysis of time series, researchers have accumulated some classic methods, which mainly include model method...

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): G06F40/289G06F40/247G06Q50/00G06Q50/26
CPCG06Q50/01G06Q50/26
Inventor 孙越恒杨宇杰
Owner TIANJIN UNIV
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