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Public opinion prediction method based on smart community network big data

A technology of community network and prediction method, applied in the field of public opinion prediction based on smart community network big data

Inactive Publication Date: 2016-11-09
CHONGQING FANGHUI TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

At present, semantic-based content recognition methods are the top priority of current research. Although great progress has been made, there are still many problems and difficulties to be overcome.

Method used

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  • Public opinion prediction method based on smart community network big data
  • Public opinion prediction method based on smart community network big data
  • Public opinion prediction method based on smart community network big data

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0031] Such as figure 1 as shown, figure 1 A flow chart of a public opinion prediction method based on smart community network big data provided by an embodiment of the present invention, specifically including:

[0032] S1: Internet public opinion data cleaning, reducing the number of samples and noise; data cleaning includes non-essential user filtering and text preprocessing;

[0033] S2: Internet public opinion feature extraction; Internet public opinion features include user characteristics and blog post features; blog posts are microblogs, WeChat official accounts, blog posts, etc.

[0034] S3: Network public opinion model construction and network public opinion prediction; obtain weighted training samples, construct several prediction models, and obtain network public opinion prediction values.

[0035] Internet public opinion includes data informat...

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Abstract

The invention discloses a public opinion prediction method based on smart community network big data, relates to the technical field of internet information processing, and particularly relates to the public opinion prediction method based on the smart community network big data. The public opinion prediction method comprises the following steps that firstly, network public opinion data cleaning is performed and the sample number and noise are reduced; secondly, network public opinion feature extraction is performed; and finally network public opinion model construction and network public opinion prediction are performed. The public opinion prediction method is applied to the internet platform to predict the network public opinions of online communities so that exposure of the valuable content can be increased and spreading and interaction of the content can be enhanced, the negative content can be suppressed and the further baneful influence can be prevented, and thus the public opinion prediction method has a positive effect to the society.

Description

technical field [0001] The invention relates to the technical field of Internet information processing, in particular to a public opinion prediction method based on smart community network big data. Background technique [0002] With the continuous rise of China's Internet penetration rate and the rapid development of the mobile Internet, the Internet has become an important platform for people to express their opinions and emotions. How to mine information, judge trends, and obtain public opinions and suggestions from the vast Internet public opinion data has become an important problem in the development of the Internet. [0003] Internet public opinion is based on the network as the carrier, with events as the core, the expression, dissemination and interaction of the majority of netizens' emotions, attitudes, opinions, opinions, and subsequent influence. With the "three micro-ends", that is, mobile new media represented by WeChat, Weibo, micro-video, and mobile clients ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06F17/30G06F17/27
CPCG06F16/95G06F40/30G06Q50/01
Inventor 舒海东胡峰
Owner CHONGQING FANGHUI TECH CO LTD
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