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Hotspot mining method and system based on Internet financial information

An Internet and financial technology, applied in the direction of digital data information retrieval, network data retrieval, network data indexing, etc., can solve the problems of uneven quality of network information resources, inability to determine valuable financial hotspot information, etc., to avoid investment risks Effect

Inactive Publication Date: 2019-08-16
UNIV OF SCI & TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a hotspot mining method and system based on Internet financial information to solve the problem that the quality of network information resources in the prior art is uneven and it is impossible to determine valuable financial hotspot information

Method used

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  • Hotspot mining method and system based on Internet financial information
  • Hotspot mining method and system based on Internet financial information
  • Hotspot mining method and system based on Internet financial information

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Embodiment 1

[0048] Such as figure 1 As shown, the hotspot mining method based on Internet financial information provided by the embodiment of the present invention includes:

[0049] S101, grabbing financial news from the Internet;

[0050] S102, extracting feature vectors of each piece of news;

[0051] S103, performing clustering according to the extracted feature vectors to obtain multiple news clusters, wherein each news cluster corresponds to a hotspot;

[0052] S104, sort the importance of all the titles in each news cluster, and acquire the title with the highest importance to describe the hot topic in the corresponding news cluster.

[0053] The hotspot mining method based on Internet financial information described in the embodiment of the present invention grabs financial news from the Internet; extracts the feature vector of each piece of news; performs clustering according to the extracted feature vector to obtain a plurality of news clusters, wherein each Each news cluster...

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Abstract

The invention provides a hotspot mining method and system based on Internet financial information, which can help investors to track the development process of market hotspots according to the mined hot topics. The method comprises the following steps: capturing financial news from a network; extracting a feature vector of each piece of news; clustering according to the extracted feature vectors to obtain a plurality of news clusters, wherein each news cluster corresponds to one hot spot; and carrying out importance ranking on all the titles in each news cluster, and obtaining the title with the highest importance to describe the hot topic in the corresponding news cluster. The invention relates to the field of data mining.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a hotspot mining method and system based on Internet financial information. Background technique [0002] Today's finance is in the era of informationization, and financial data is becoming more and more abundant. How to effectively analyze financial data and give full play to the commercial value of financial data is an urgent problem that the financial industry needs to solve. The rising data mining technology is used to solve the problem of large-scale data processing and effective utilization. Data mining refers to extracting knowledge that people are interested in from large databases, which is implicit, unknown in advance, and potentially useful information. The revealed useful information can provide basis for decision-making, market planning and financial forecasting, etc. [0003] Network information resources are a kind of digital resources, which have unique characteristic...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/35G06F16/335G06F16/36G06F16/383
CPCG06F16/335G06F16/35G06F16/374G06F16/383G06F16/951
Inventor 黄仔琪孙振起
Owner UNIV OF SCI & TECH BEIJING
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