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Conference papers
PWA-PEM for Latent Tree Model and Hierarchical Topic Detection
Abstract : Hierarchical Latent Tree Analysis (HLTA) is a new method of topic detection. However, HLTA data input uses TF-IDF selection term, and relies on EM algorithm for parameter estimation. To solve this problem, a method of accelerating part of speech weight (PWA-PEM-HLTA) is proposed based on Progressive EM-HLTA (PEM-HLTA). Experimental results show that this method improves the execution efficiency of PEM-HLTA, averaging 4.9 times speed, and improves the speed of 6 times in the best case.
Cited literature [14 references]
https://hal.inria.fr/hal-02197798
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Submitted on : Tuesday, July 30, 2019 - 5:02:08 PM
Last modification on : Tuesday, July 30, 2019 - 5:12:17 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, July 30, 2019 - 5:02:08 PM
Last modification on : Tuesday, July 30, 2019 - 5:12:17 PM
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473854_1_En_19_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License