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Method for mining orientation of Web themes and supporting decisions

A decision support and oriented technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of real-time business intelligence and other problems, and achieve the effect of real-time business intelligence and good decision-making support services

Active Publication Date: 2013-05-22
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To sum up, there are still very few methods for analyzing and mining the tendency of enterprise hot topics on the Internet at present, and there is still a long way to go from instant business intelligence.

Method used

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  • Method for mining orientation of Web themes and supporting decisions
  • Method for mining orientation of Web themes and supporting decisions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] figure 1 A schematic flowchart of Embodiment 1 of the present invention is shown in .

[0060] like figure 1 Shown, in this embodiment, a kind of method for web subject tendency mining and decision support, comprises steps:

[0061] S101. Network information extraction and storage, using network mining technology to obtain information on the Internet and store the results in databases and local file systems;

[0062] S102. Natural language processing preprocesses the original network information, including: Chinese word segmentation, part-of-speech tagging, stop word processing, and named entity recognition;

[0063] S103. Information viewpoint theme detection and tracking, using topic comment data to detect and identify interested viewpoint topics with complete semantic information. And continue to track and pay attention to this topic;

[0064] S104. Identify the emotional orientation of the topic of opinion, classify the hot topic of the enterprise according to ...

Embodiment 2

[0066] figure 2 A schematic flowchart of Embodiment 2 of the present invention is shown in .

[0067] like figure 2 As shown, in this example,

[0068] A method for web topic tendency mining and decision support, comprising steps:

[0069] S201. Network information extraction and storage, using network mining technology to obtain information on the Internet and store the results in databases and local file systems;

[0070] S202. Natural language processing preprocesses the original network information, including: Chinese word segmentation, part-of-speech tagging, stop word processing, and named entity recognition;

[0071] S203. Classify the information collected from the network through template-based information classification, and filter noise information;

[0072] S204. Using the incremental clustering method based on the time function to detect the sub-topic of the filtered relevant information, and store the result in the sub-topic table of the database;

[0073...

Embodiment 3

[0080] A method for web topic tendency mining and decision support, comprising steps:

[0081] S301. Network information extraction and storage, using network mining technology to obtain information on the Internet, and store the results in databases and local file systems;

[0082] S302. Natural language processing preprocesses the original network information, including: Chinese word segmentation, part-of-speech tagging, stop word processing, and named entity recognition;

[0083] S303. The information collected from the network is classified based on the template, and the noise information is filtered;

[0084] S304. Process each document in the information sequentially;

[0085] S305. Clustering the unprocessed documents by using a hierarchical clustering method;

[0086] S306. If there is no historical clustering, store the subtopic according to the current clustering result;

[0087] S307. If there is historical clustering, perform hierarchical clustering again on the...

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Abstract

The invention discloses a method for mining the orientation of Web themes and supporting decisions. The method includes steps of S1, extracting and storing network information, acquiring information on the internet via a network mining technology, and storing results in a database and a local file system; S2, detecting and tracking viewpoint themes of the information, detecting and identifying interested viewpoint themes with complete semantic information by the aid of thematic comment data and keeping tracking and following the viewpoint themes; and S3, identifying the emotion orientation of the viewpoint themes, classifying the emotion orientation of hot topics of an enterprise, and mining the emotion orientation of the view themes. The method has the advantages that related business information is acquired from the internet, so that the tendency of the orientation of the themes related to the enterprise can be quickly and effectively mined from the massive network information, real-time business intelligence can be realized, and decision support service can be effectively provided for the enterprise.

Description

technical field [0001] The invention relates to a method for theme tendency mining and decision support of Web data, especially for subject emotion tendency analysis and decision support of massive Web data. Background technique [0002] The global financial crisis has had a profound impact on many traditional industries, making industry professionals and investors more aware of the importance of reliable business information and access to technology. For enterprises, these technologies can assist them to quickly and effectively form business decisions, effectively manage and control risks, improve their business competitiveness and ultimately enable them to win in market competition. Based on the above consensus, the industry's demand for network information mining and intelligent decision-making services has become increasingly urgent. Network information mining and intelligent decision-making services involve information acquisition technology, text classification techno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 张振刚徐浩杨沛丁卓
Owner SOUTH CHINA UNIV OF TECH
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