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Method for detecting unexpected hot topics in Chinese microblogs

A technology of hot topics and detection methods, applied in unstructured text data retrieval, network data retrieval, other database retrieval and other directions, can solve the problems of sudden topic detection methods without Chinese microblogs, inaccurate topic detection results, etc. To achieve the effect of improving detection effect and excellent performance

Inactive Publication Date: 2014-09-24
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Problems solved by technology

Under this assumption, the text clustering method is used to detect topics. When a non-event document is encountered, the document will also be clustered into a certain topic, which will cause inaccurate topic detection results.
[0008] Currently, there is no detection method for bursty topics in Chinese Weibo

Method used

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  • Method for detecting unexpected hot topics in Chinese microblogs
  • Method for detecting unexpected hot topics in Chinese microblogs
  • Method for detecting unexpected hot topics in Chinese microblogs

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Embodiment Construction

[0047] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] like figure 1 as shown, figure 1 It is an overall schematic diagram of the Chinese microblog sudden hot topic detection method of the present invention; a kind of Chinese microblog sudden hot topic detection method provided by the present invention comprises the following steps:

[0049] Step 1, obtain the microblog posts of the microblog site through the data interface of the microblog site, the microblog posts include the extracted text and publication time;

[0050] Step 2, establishing a collection of reference microblog posts according to the microblog posts;

[0051] Step 3, determine and detect the collection of microblog posts;

[0052] Step 4, use the binary covering method to cut words;

[0053] Step 5, determine sudden word, set up sudden word clustering;

[0054] Step 6. Determine the hot topics, and sort th...

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Abstract

The invention provides a method for detecting unexpected hot topics in Chinese microblogs. The method comprises the following steps: acquiring microblog posts of microblog sites through data interfaces of microblog sites, wherein the microblog posts comprise extracted texts and publish time; establishing a reference microblog post set according to the microblog posts; determining the microblog post set to be detected; adopting the binary coverage method for word segmentation; determining unexpected words, and establishing an unexpected word cluster; determining and ordering hot topics. The method can detect unexpected topics in massive Chinese microblog posts, and adopts the unexpected word and unexpected word cluster detection combined manner by utilizing the features of the unexpected topics in the microblog posts to accurately detect the unexpected topics.

Description

technical field [0001] The invention relates to a method in the technical field of Internet data mining, in particular to a method for detecting sudden hot topics in Chinese microblogs. Background technique [0002] The number of Chinese microblog users is huge, the information is immediacy, and the speed of message dissemination is fast. Quickly and accurately detecting sudden topics from massive Chinese microblog posts is of great significance for government decision-making and commercial promotion. [0003] A sudden topic refers to an event that occurs at a certain time, and usually has a short duration and is heatedly discussed by a large number of netizens. [0004] There are three main differences between Chinese microblog sudden hot topic detection and the topic detection method adopted in the traditional topic detection and tracking project (TDT). [0005] First of all, Chinese topic detection requires word segmentation for Chinese, while most of the research in the...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/958
Inventor 赵丽刘欣然李焱
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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