Unlock instant, AI-driven research and patent intelligence for your innovation.

Online public opinion emergency hot spot event discovery method based on data mining technology

A technology of network public opinion and data mining, applied in digital data processing, natural language data processing, special data processing applications, etc., can solve problems such as time factors are not considered

Inactive Publication Date: 2021-01-08
黑龙江省网络空间研究中心 +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both types of methods focus on the processing of text content without considering the time factor

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
  • Online public opinion emergency hot spot event discovery method based on data mining technology
  • Online public opinion emergency hot spot event discovery method based on data mining technology
  • Online public opinion emergency hot spot event discovery method based on data mining technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024]In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to make the objectives, features, and advantages of the present invention more obvious and easy to understand, the technical core of the present invention will be further detailed in conjunction with the accompanying drawings and examples. instruction of.

[0025]The basic steps of a method based on data mining technology to discover sudden hot events in network public opinion are as follows.

[0026]1. The text preprocessing part performs preprocessing on the text messages received at time (i-1)~i on the current date T.

[0027]a) Load the dictionary library file

[0028]b) Segment the original text, according to line breaks, punctuation marks, space symbols, etc.

[0029]c) Separately process each sentence after the sentence

[0030]d) Optimize word segmentation for each sentence segmentation, identify people's names, place names, and event types, and deter...

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 online public opinion emergency hot spot event discovery method based on a data mining technology. The method comprises the following steps: 1) extracting event characteristics of each to-be-processed public opinion message in a current date T; 2) setting a plurality of moments, counting the message quantity xTij of each type of events according to the event characteristics of each public opinion message, and normalizing the message quantity xTij into a formula shown in the specification; 3) reading the normalized message quantity of the j-th type events from the (i-1)-th moment to the i-th moment of each day N days before the current date T; and 4) calculating a first quartic score Q1ij, a third quartic score Q3ij of Q, and two formulas shown in the specification, if a condition shown in the specification is met, judging that the j-type event is a hot spot event; and if a condition shown in the specification is met, determining that the j-th type event is anon-hot spot event.

Description

Technical field[0001]The present invention relates to a method for discovering sudden hot events in network public opinion based on data mining technology, belonging to the field of hot spot discovery in the field of computer data mining, involving innovative analysis of massive data, and the problem addressed by the invention is to discover sudden hotspots in massive information Events and track changes in the heat of the event.Background technique[0002]In recent years, with the rapid development of the Internet, the network has played an increasingly important role in social development and people's lives. The Internet has become the core carrier of information carrying and dissemination and the amplifier of public opinion. Internet public opinion, especially the sudden hot public opinion, has the characteristics of wide-ranging, fast-spreading, and great influence. Through social media data, valuable emergency information can be obtained through mining and analysis when emergenci...

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): G06F16/9535G06F16/335G06F40/211G06F40/216G06F40/284G06F40/295
CPCG06F16/335G06F16/9535G06F40/211G06F40/216G06F40/284G06F40/295
Inventor 呼大永孟庆川董伊然马灿高玺艳张哲为
Owner 黑龙江省网络空间研究中心