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首页> 外文期刊>Journal of supercomputing >Modeling method of internet public information data mining based on probabilistic topic model
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Modeling method of internet public information data mining based on probabilistic topic model

机译：基于概率主题模型的互联网公共信息数据挖掘建模方法

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摘要

From the perspective of military intelligence work, the rise and widespread use of the network has opened up new horizons for intelligence acquisition, but the continuous increase in the amount of data in the network has made traditional intelligence analysis stretched. Therefore, enriching and developing military intelligence analysis methods have certain practical significance to make up for the shortcomings in current intelligence analysis. The traditional military intelligence analysis method cannot realize the in-depth mining and analysis of the network Shanghai information, obtain the deep intelligence knowledge required by the military, introduce the data mining technology into the military intelligence analysis and construct the network military intelligence analysis based on data mining model. The semantic analysis-based intelligence analysis algorithm in this model has certain superiority compared with the traditional association analysis, which can effectively improve the analysis efficiency and accuracy of military intelligence.
机译：从军事情报工作的角度来看，网络的兴起和广泛使用为情报获取开辟了新的视野，但是网络中数据量的不断增加使传统的情报分析变得捉襟见肘。因此，丰富和发展军事情报分析方法对于弥补当前情报分析的不足具有一定的现实意义。传统的军事情报分析方法无法实现对网络上海信息的深入挖掘和分析，无法获得军队所需要的深入情报知识，无法将数据挖掘技术引入军事情报分析中，无法构建基于网络情报的网络军事情报分析方法。数据挖掘模型。该模型基于语义分析的情报分析算法与传统的关联分析相比具有一定的优势，可以有效提高军事情报的分析效率和准确性。

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