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System and method for mining hot words and events in social network

A technology of social network and hot words, which is applied in the field of social networks, can solve the problem of not being able to solve the problem of periodic hot words in social networks, not taking into account the unique information of social network data, and the large fluctuation of the total number of social network texts, etc., to achieve Overcoming the problem of periodic hot words, avoiding large fluctuations in dt, and improving the results of hot word mining

Inactive Publication Date: 2012-07-25
PEKING UNIV
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AI Technical Summary

Problems solved by technology

[0006] (2) It cannot solve the problem of periodic hot words on social networks
[0007] (3) This method is mainly aimed at news data, and does not take into account the unique information of social network data, such as forwarding information, user relationship information, URL information contained in social network text, etc.
Therefore, it cannot solve the problem of large fluctuations in the total number of social network texts

Method used

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  • System and method for mining hot words and events in social network
  • System and method for mining hot words and events in social network
  • System and method for mining hot words and events in social network

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Embodiment Construction

[0048] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0049] figure 1 It is a schematic diagram of the module structure of the social network hot words and event mining system of the present invention. Such as figure 1 As shown, the system includes: an information statistics module 100 , a state parameter module 200 , a generation cost module 300 , a state sequence module 400 and a transition cost module 500 .

[0050] The information statistics module 100 is used to make statistics on candidate words to obtain corresponding candidate word sequences. The state parameter module 200 is configured to calculate the state parameters of the candidate words at different time points according to the sequence of candidate words. T...

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Abstract

The invention discloses a system and method for mining hot words and events in social network, and relates to the field of social network. The method comprises counting candidate words to obtain a corresponding candidate words sequence; calculating the state parameter of the candidate words at different time points according to the candidate words sequence; providing an alternative state sequence, and calculating the state generate cost of the candidate words according to the candidate words sequence, the state parameter and the alternative state sequence; calculating the state transfer cost of the candidate words according to the alternative state sequence; and screening the alternative state sequence according to the candidate words sequence, the state parameter, the state generation cost and the state transfer cost to obtain a state sequence with the lowest total cost. The system and method provided by the invention can improve the hot words mining accuracy.

Description

technical field [0001] The invention relates to the technical field of social networks, in particular to a system and method for mining hot words and events in social networks. Background technique [0002] According to the use of words on social networks, the time period when the word is used more frequently can be mined, that is, the time period when the word is a hot word; event mining is performed on social network texts containing hot words in the time period of hot words, and the The event is summarized, and at the same time, the influential users who spread the event are excavated, and it may provide powerful data support for the research and decision-making of enterprises and governments. [0003] J. Kleinberg proposed a hot word mining method in the article "Bursty and hierarchical structure in streams". This method believes that candidate words may be in two states within a time interval: (1) 0 state-normal state, (2) )1 state-hot word state, and calculate a basic...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 闫宏飞树柏涵赵鑫李晓明
Owner PEKING UNIV
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