Monitoring method and system for microblogging public opinion

A monitoring system and microblogging technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc. problem, to achieve high stability and accuracy

Inactive Publication Date: 2015-04-15
北京牡丹电子集团有限责任公司数字科技中心
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The text-centered method works well for traditional texts, but microblog texts are sparse and contain a lot of spam. Clustering first and then burst feature recognition will introduce a lot of noise information, and there are still some noises in the text cl

Method used

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  • Monitoring method and system for microblogging public opinion
  • Monitoring method and system for microblogging public opinion

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[0045] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples cited are only used to explain the present invention, and are not used to limit the scope of the present invention.

[0046] Such as figure 1 As shown, a microblog public opinion monitoring system includes a data collection module 1, a popular microblog detection module 2, an abnormal microblog monitoring module 3, a database 4, and a data display module 5. The data collection module 1 is used for crawling Fetch real-time microblog data and write it into the database 4; the popular microblog detection module 2 is used to sort the real-time microblog data in the first predetermined time period according to a predetermined algorithm, and filter out the data in the first predetermined time period Popular microblogs; the abnormal microblog monitoring module 3, which is used to extract burst words from the microblog text composed of microblog da...

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Abstract

The invention relates to monitoring method and system for microblogging public opinion. The system comprises a data acquiring die for crawling real-time microblog data and writing into a database, a hot microblog detecting module for sequencing the real-time microblog data within the preset time according to the preset algorithm and screening the hot microblogs within the specific time quantum, an abnormal microblog monitoring device for vectoring microblog texts, clustering the vectored microblog texts and selecting the microblogs with the highest hot level from various microblogs to be used as the monitored abnormal microblogs, and a data display module for displaying the hot microblogs and the abnormal microblogs with corresponding quantity according to the preset threshold. With the adoption of the method and system, the microblogs within a period of time can be quickly analyzed, the hot microblogs can be extracted, and the hot microblog topic can be tracked; the real-time microblog within a period of time can be monitored, and the abnormal microblog within the latest period of time can be detected; the data can be automatically cleaned by the system; the mature clustering method is used as the algorithm to ensure relatively high stability and accuracy.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a microblog public opinion monitoring method and monitoring system. Background technique [0002] Weibo is a new media emerging in recent years, which has the characteristics of convenience, face-to-face and originality. In today's data explosion, it is impossible for users to obtain real-time emergencies by reading a large amount of Weibo information. Therefore, it is very meaningful to mine unexpected events that users are interested in from massive microblog data. [0003] In the prior art, emergent events are mined in the order of emergent feature recognition, and emergency event recognition can be divided into text-centered methods and burst feature-centered methods. The former is to cluster the text first, and then extract the burst features in the class to identify the burst event; the latter is to extract the burst features first, then group the burst features...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 姬东鸿王路路白旭
Owner 北京牡丹电子集团有限责任公司数字科技中心
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