Difference between revisions of "Mallet"
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Latest revision as of 13:37, 12 July 2018
MALLET is a Java "Machine Learning for Language Toolkit" best known for its topic modeling capabilities.
Description
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text.
History
MALLET was developed primarily by Andrew McCallum, of the University of Massachusetts Amherst, with assistance from graduate students and faculty from both UMASS and the University of Pennsylvania.
External links
- Official website of the project at the University of Massachusetts Amherst
