Event public sentiment information extracting method and system based on micro-blog platform

A technology of information extraction and extraction methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult and efficient capture of real-time information, achieve comprehensive and efficient acquisition of event public opinion information, improve collection speed, and avoid The effect of efficiency problems

Active Publication Date: 2015-05-13
INST OF COMPUTING TECH CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] It can be seen from the above that the usual network-wide monitoring method has limitations in many aspects
First, the amount of network information is growing explosively. Traditional methods of monitoring the entire network are d

Method used

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  • Event public sentiment information extracting method and system based on micro-blog platform
  • Event public sentiment information extracting method and system based on micro-blog platform
  • Event public sentiment information extracting method and system based on micro-blog platform

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Embodiment Construction

[0051] The invention will be described below in conjunction with the accompanying drawings and specific embodiments.

[0052] The present invention includes the following steps: Step 101, simulating login to the microblog platform. Since the present invention relies on the microblog platform for information collection, it first needs to simulate the process of a user logging into the microblog website, and submit user authentication request information to the microblog site. Before the simulated login, manually register a batch of microblog accounts to build a login information table. This list can simulate the login situation of different users and reduce the possibility of being banned by the official account due to multiple requests for the same account. In addition, through Analyze the actual login process of the Weibo site, and obtain information such as the link format for establishing authentication, authentication encryption methods, etc. When simulating login, first ...

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Abstract

The invention relates to a public sentiment event extracting technology and discloses an event public sentiment information extracting method and system based on a micro-blog platform. The method comprises the steps of obtaining keywords, the starting time and deadline of an event, constructing a page link of a page to be sampled according to the link format of the search service of the micro-blog platform, carrying out micro-blog sampling according to the page link to generate a sample micro-blog, computing the event heat degree of the event according to the sample micro-blog, computing the micro-blog grabbing cycle according to the event heat degree, and obtaining a micro-blog page related to the event in combination with the page link according to the micro-blog grabbing cycle. The micro-blog information of the micro-blog page is extracted to finish extracting the public sentiment of the event. The event public sentiment information is obtained more comprehensively and efficiently, and real-time public sentiment information can be collected.

Description

technical field [0001] The invention relates to public opinion event extraction technology, in particular to a method and system for extracting event public opinion information based on a microblog platform. Background technique [0002] Weibo, short for Micro Blog, is a platform for information sharing, acquisition and dissemination based on user relationships. Users can attach pictures with text of about 140 characters through WEB, WAP and various client components. , music, video and other multimedia update information, and realize instant sharing. Since 2008, Weibo has developed rapidly in my country, and a number of Weibo service websites have sprung up, such as Sina Weibo, which was established in August 2009. By the end of December 2012, it had more than 500 million registered users and daily active users. It has 46.2 million users and more than 100 million blog posts per day, spanning the Mainland, Taiwan, Taiwan and Singapore. [0003] As a new type of network appl...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F40/279
Inventor 曹娟储达峰金志威张勇东谢菲苏宇
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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