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- W76577980 abstract "PLSA(Probabilistic Latent Semantic Analysis) is a popular topic modeling technique for exploring document collections. Due to the increasing prevalence of large datasets, there 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." @default.
- W76577980 created "2016-06-24" @default.
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- W76577980 date "2012-01-01" @default.
- W76577980 modified "2023-09-23" @default.
- W76577980 title "PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce" @default.
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- W76577980 doi "https://doi.org/10.1007/978-3-642-32891-6_8" @default.
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