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Showing 1 to 3 of 3 for “"Probabilistic latent semantic analysis (PLSA)"”.
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Parallel implementations of probabilistic latent semantic analysis on graphic processing units
Probabilistic Latent Semantic Analysis (PLSA) has been successfully applied to many text mining tasks such as retrieval, clustering, summarization, etc. PLSA involves iterative computation for a large number of parameters and may take hours or even days to process a large dataset, thus speeding up …
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Mining informative sentences in multi-product documents with PLSA
… of the product. we propose to use Probabilistic Latent Semantic Analysis (PLSA) to mine informative sentences given a single multi-product document. By applying PLSA in a multi-product document, it simultaneously solves three problems regarding to multi-product document: 1. Separate …
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Discovery driven analysis on semi-structured text data
Made available in DSpace on 2010-05-19T18:39:57Z (GMT). No. of bitstreams: 4 Hauguel_Samson.pdf: 949045 bytes, checksum: c81da5764eec7003739651851a0439a5 (MD5) 1_Hauguel_Samson.pdf: 949482 bytes, checksum: 64fae416e30bc67f9ab29dac3c487ebd (MD5) 2_Hauguel_Samson.pdf: 949045 bytes, checksum: …