PPLSA:Parallel Probabilistic Latent Semantic Analysis Based on MapReduce

摘要：

　　PLSA(Probabilistic Latent Semantic Analysis) is a popular topic modeling technique for exploring document collections.Due to the increasing prevalence of large datasets,them is a need to improve the scalability of computation in PLSA.In this paper,we propose a parallel PLSA algorithm called PPLSA to accommodate large corpus collections in the MapReduce framework.Our solution efficiently distributes computation and is relatively simple to implement.

关键词： Probabilistic Latent Semantic Analysis MapReduce EM Parallel

作者: Ning Li Fuzhen Zhuang Qing He Zhongzhi Shi

作者单位: The Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese A The Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese A

会议类型: 国际会议

会议名称: 7th IFIP TC 12 International Conference (第七届智能信息处理国际会议 (IIP 2012))

会议地点: 桂林

会议语种:英文

页码: 40-49

在线出版日期: 2012-10-12（万方平台首次上网日期，不代表论文的发表时间）