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

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...

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 difficult to efficiently capture real-time information. Taking Weibo as an example, hundreds of millions of Weibo information need to be processed every day, which has a high impact on processing efficiency and storage space. requirements

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