Public opinion prediction method and device, terminal and storage medium

A data forecasting and public opinion technology, applied in digital data processing, special data processing applications, epidemic warning systems, etc., can solve the problems of users not being able to understand in time, insufficient data system, single crawling method, etc., and achieve clear display of results , Unified data format and accurate prediction results

Active Publication Date: 2018-10-12
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are a large amount of professional disease data and user inquiry records hidden on the Internet, but these data are not systematic and complete. When an epidemic breaks out rapidly, the website information is often not updated in time, resulting in lagging information entry, and users Can not keep abreast of the latest information, timely prevention, nip in the bud
[0003] At pr...

Method used

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  • Public opinion prediction method and device, terminal and storage medium
  • Public opinion prediction method and device, terminal and storage medium
  • Public opinion prediction method and device, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] figure 1 It is a flow chart of the public opinion data prediction method provided in Embodiment 1 of the present invention. According to different requirements, the execution sequence in the flow chart can be changed, and some steps can be omitted.

[0052] Step 11. Receive at least one key word of the disease input by the user.

[0053]The keywords are words related to the symptoms of the disease. For example, when the disease is a cold, the keywords may include: sneezing, runny nose, nasal congestion, headache and dizziness, cough without phlegm, sore throat and the like. For another example, when the disease is hand, foot and mouth, the keywords may include: mouth pain, anorexia, low fever, small herpes on the hands, small ulcers on the mouth, etc.

[0054] In order to facilitate subsequent crawling of more disease-related data, the user can enter multiple keywords of the disease. The keywords may be the symptoms of the disease obtained by the user according to hi...

Embodiment 2

[0082] figure 2 It is a flow chart of the public opinion data prediction method provided by Embodiment 2 of the present invention. According to different requirements, the execution sequence in the flow chart can be changed, and some steps can be omitted.

[0083] Step 21, receiving at least one key word of the disease input by the user.

[0084] Step 21 in this embodiment is the same as step 11 in Embodiment 1, and will not be described in detail herein again.

[0085] Step 22: Determine data sources related to the keyword in the Internet, and classify the data sources according to the types of the data sources.

[0086] In this embodiment, the data sources related to the keywords can be divided into two categories according to the types of the data sources, the first category is index data sources, and the second category is public opinion data sources. The index data sources include, but are not limited to: Baidu, Google, 360, etc. The public opinion volume data source...

Embodiment 3

[0109] image 3 It is a functional block diagram of the public opinion data prediction device provided by Embodiment 3 of the present invention.

[0110] In some embodiments, the public opinion data prediction device 30 runs in a terminal. The public opinion data prediction device 30 may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the public opinion data prediction device 30 can be stored in a memory, and executed by at least one processor to execute (see for details figure 1 and related descriptions) to predict public opinion data.

[0111] In this embodiment, the device 30 for predicting public opinion data of the terminal can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a receiving module 301 , a crawling module 302 , an analysis module 303 , a cleaning module 304 , an expansion module 305 , a standardization module 306 ...

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Abstract

The invention discloses a public opinion prediction method comprising the steps of receiving at least one keyword of a disease input by a user; determining a data source related to the keyword in theInternet, and crawling disease data related to the keyword from the data source by using a crawler program; analyzing the disease data to acquire a public opinion factor of the disease; performing data cleaning and abnormal value treatment on the public opinion factor of the disease; performing data standardization on the public opinion factor of the disease that is subjected to data cleaning andabnormal value treatment to acquire new disease data; and computing a derived variable of the public opinion factor of the disease according to the new disease data, and predicting the disease according to the derived variable. The invention also provides a public opinion data prediction device, a terminal and a storage medium. According to the method, device terminal and storage medium provided by the invention, the relatively complete disease data can be crawled, the disease data can be handled, deeply analyzed and computed, and thus the purpose from basic data display to decision data display is achieved, and the reference base is provided for disease prediction.

Description

technical field [0001] The present invention relates to the technical field of data prediction, in particular to a public opinion data prediction method, device, terminal and storage medium. Background technique [0002] With the rapid development of the Internet, computer technology has facilitated people's lives in all walks of life, and the medical field is no exception. There are a large amount of professional disease data and user consultation records hidden on the Internet, but these data are not systematic and complete. When an epidemic breaks out rapidly, the website information is often not updated in time, resulting in lagging information entry. Can not keep abreast of the latest information, timely prevention, nip in the bud. [0003] At present, web crawler technology is used to crawl public opinion data about diseases, but the crawling method is relatively simple, and a simple crawler method is used. Secondly, there is no effective and timely inspection of the...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62G16H50/80
CPCG16H50/80G06F18/24
Inventor 阮晓雯徐亮肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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