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Title:Distributed Strategies for Topic Modeling
Author(s):Jindal, Prateek; Hockenmaier, Julia; Kale, Laxmikant V.
Subject(s):Topic Models
Latent Dirichlet Allocation
Parallel Computing
Charm
Abstract:Topic modeling algorithms (like Latent Dirichlet Allocation) tend to be very slow when run over large document collections. In this presentation, we discuss distributed strategies for topic modeling. We use Charm++ as our parallelization framework. Our results show that parallelization can considerably increase the efficiency of topic modeling.
Issue Date:2013-12-04
Citation Info:Prateek Jindal, Julia Hockenmaier, L.V. Kale. Distributed Strategies for Topic Modeling. Computer Science Research and Tech Reports. UIUC. 2013.
Genre:Presentation / Lecture / Speech
Type:Text
Language:English
URI:http://hdl.handle.net/2142/46405
Publication Status:unpublished
Peer Reviewed:not peer reviewed
Rights Information:2013 by Prateek Jindal
Date Available in IDEALS:2013-12-04


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