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A Parallel Platform for Web Text Mining 认领 引用 被引量：1
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作者 Ping Lu Zhenjiang Dong +4 位作者 Shengmei Luo Lixia Liu Shanshan Guan Shengyu Liu Qingcai Chen 《ZTE Communications》 2013年第3期56-61,共6页
With user-generated content, anyone can De a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is beeoming harder to efficiently obtain required information.... With user-generated content, anyone can De a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is beeoming harder to efficiently obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this in-formation using natural language processing and data-mining techniques. 展开更多
关键词 natural language processing text mining massive data paral-lel web knowledge service
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