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Systems and Methods for the Distributed Categorization of Source Data

mag(2014)

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  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
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要点】:本文提出了一种分布式源数据分类系统和方法,通过提高数据处理的效率与准确性,实现大数据环境下的高效数据分类。

方法】:作者通过构建一个基于云计算的分布式分类架构,利用并行处理和机器学习算法对数据进行智能分类。

实验】:实验部分,作者在亚马逊云服务(AWS)上部署了该系统,并使用了公开数据集DBpedia进行测试,结果显示系统在处理大规模数据集时,相比传统方法具有更高的准确率和效率。