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Regression analysis-based news competitiveness analysis method and visualization device

A technology of regression analysis and analysis method, applied in other database retrieval, special data processing applications, instruments, etc., can solve the problem of single mode and achieve a high degree of fitting effect

Active Publication Date: 2016-03-02
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its model is too single and needs to be expanded in combination with actual analysis

Method used

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  • Regression analysis-based news competitiveness analysis method and visualization device
  • Regression analysis-based news competitiveness analysis method and visualization device
  • Regression analysis-based news competitiveness analysis method and visualization device

Examples

Experimental program
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Embodiment 1

[0042] A method of news competitiveness analysis based on regression analysis, see figure 1 , This method displays the competitive relationship through a visual model. The news competitiveness analysis method includes the following steps:

[0043] 101: Preprocessing of word segmentation and word frequency statistics on news data;

[0044] The embodiment of the present invention utilizes the existing word segmentation tool to perform Chinese word segmentation processing on news data released by news media, and counts the release amount and release time of the news data, and counts the word frequency through the word segmentation results. The specific operation of this step is not described in detail in the embodiment of the present invention.

[0045] 102: Through the zero-sum game and the growth rate of the development trend of news events, obtain a competitiveness model based on the growth rate of the development trend of news events;

[0046] For news events, the media's disseminat...

Embodiment 2

[0062] The following combines specific calculation formulas, examples and Attached drawing Describe the scheme in Example 1 in detail, and visualize the overall display effect of the model Such as figure 1 As shown, the embodiment of the present invention is mainly divided into two major steps, one is the theoretical derivation and evaluation of the competitiveness model, and the other is to perform visual analysis by establishing a visual model, as detailed in the following description:

[0063] 201: Preprocessing of word segmentation and word frequency statistics on news data;

[0064] The embodiment of the present invention uses the existing word segmentation tool to perform word segmentation and statistical word frequency preprocessing on the original data on the news media, and provides a data basis for subsequent model evaluation and visualization analysis. For specific operation steps, refer to Embodiment 1, which is not described in detail in this embodiment of the presen...

Embodiment 3

[0100] The feasibility verification of the schemes in Example 1 and Example 2 will be carried out in conjunction with specific experiments, as detailed in the following description:

[0101] The embodiment of the present invention is mainly aimed at the evaluation and analysis of the news event competitiveness model, and the validity of the news event competitiveness model can be determined through the evaluation and analysis to determine whether the model is applicable.

[0102] Evaluation results of the present invention As shown in Table 1 with Table 2 Shown.

[0103] Table 1 Experimental evaluation results

[0104]

[0105] Table 2 Experimental evaluation results

[0106]

[0107] Evaluation results As shown in Table 1 with Table 2 Shown. In the above table, y represents the actual report increment of the news event, Represents the increase in news reports estimated using the competitiveness model, R 2 Represents the complete square deviation of estimated value and actual v...

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Abstract

The invention discloses a regression analysis-based news competitiveness analysis method and a visualization device. The method comprises the following steps: obtaining a news event development trend growth rate-based competitiveness model through a zero-sum game and news event development trend growth rate; carrying out multivariate regression analysis on the competitiveness model and expanding into a multivariate regression model; evaluating the competitiveness between news events through a semipartial correlation coefficient and quantifying the competitiveness; and estimating the competitiveness model by the multivariate regression model through calculating the fitting degree of the competitiveness model. The device comprises an obtaining module, an expansion module, an evaluation and quantification module and an estimation module. According to the regression analysis-based news competitiveness analysis method and the visualization device, analysis of news data is achieved; and an experiment proves that the regression analysis-based news competitiveness analysis method and the visualization device have relatively high fitting degree; and the regression analysis-based news competitiveness analysis method and the visualization device are applicable to visualization analysis of the news event competitiveness on news media.

Description

technical field [0001] The invention relates to the fields of data mining, information retrieval and data visualization, in particular to a regression analysis-based news competitiveness analysis method and a visualization device thereof. Background technique [0002] At present, in data visualization technology, it is mainly divided into two aspects. The first is the visualization of social media. Researchers such as Marcus invented TwitInfo to automatically detect and display the peak of Weibo activity; researchers such as Dork introduced a web-based system to provide a visualization technology to summarize large Twitter data streams. The use of Clustering is used to reduce the complexity of the data for analysis. Gansner proposes a visualization method for text streams, which uses multi-scale clouds to build a topic cloud model on Weibo to show the changing trend of topics. [0003] The above technologies are all focused on visualizing the diffusion process of an event ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/313G06F16/951
Inventor 于瑞国黄才宝喻梅王建荣于健赵满坤
Owner TIANJIN UNIV
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