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Efficient methods for topic model inference on streaming document collections
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Authors:
Limin Yao
University of Massachusetts, Amherst, Amherst, MA, USA
David Mimno
University of Massachusetts, Amherst, Amherst, MA, USA
Andrew McCallum
University of Massachusetts, Amherst, Amherst, MA, USA
Published in:
· Proceeding
KDD '09
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 937-946
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-495-9
doi>
10.1145/1557019.1557121
2009 Article
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· Citation Count: 24
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design
experimentation
inference
miscellaneous
performance
topic modeling
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