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Meow Hagedorn
1. meow ::06 David Newman Bill Landis, ex officio Kat Hagedorn Clustering, Classification, and Metadata Enhancement Techniques July 24, 2006
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4. What We Did Cluster Preprocessing & Topic Modeling > vocab- ulary preprocess topic model (cluster/learn) topics OAI records
5. What We Did vocab- ulary preprocess topic model (cluster/learn) topics Cluster OAI records vocab -ulary preprocess topic model (classify) 1. topics in records 2. records in topics oai rec Classify Preprocessing & Topic Modeling > OAI records
6. What We Did Cluster Classify Preprocessing & Topic Modeling > clustering is learning the topics classification is using the learned topics vocab- ulary preprocess topic model (cluster/learn) topics OAI records vocab -ulary preprocess topic model (classify) 1. topics in records 2. records in topics oai rec OAI records
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8. Selected Repositories * *Repositories harvested by UMich/OAIster, June 7, 2006. Preprocessing & Topic Modeling > 1 in 3 141,000 Research Papers in Economics repec 1 in 3 625,000 PubMed Central pubmed - 370,000 Publishing Network for Geoscientific and Environmental Data pangaea 1 in 3 131,000 Office of Science and Technology Information osti 1 in 2 33,000 The National Science Digital Library nsdl - 239,000 Library of Congress Digitized Historical Collections loc 1 in 3 212,000 Institute of Physics iop 1 in 2 29,000 Directory of Open Access Journals Articles doaj 1 in 3 717,000 CiteSeer Scientific Literature Digital Library citeseer 1 in 2 45,000 CERN Document Server cern - 3,000 Caltech Electronic Theses and Dissertations caltech 1 in 3 368,000 arXiv.org Eprint Archive arxiv Records used for clustering (learning) Records Description Short Name
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10. Preprocessing Example <ID=oai:CiteSeerPSU:44072> <title> Reinforcement Learning: A Survey <description> This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad selection of current work are summarized. Reinforcement learning is the problem faced by an agent that learns behavior through trial-and-error interactions with a dynamic environment. The work described here has a resemblance to work in psychology, but differs considerably in the details and in the use of the word "reinforcement." … <subject> Leslie Pack Kaelbling, Michael Littman, Andrew Moore. Reinforcement Learning: A Survey vocab -ulary preprocess <ID=oai:CiteSeerPSU:44072> reinforcement learning survey survey field reinforcement learning computer science perspective written accessible researcher familiar machine learning historical basis field broad selection current summarized reinforcement learning faced agent learn behavior trial error interaction dynamic environment resemblance psychology differ considerably detail word reinforcement … leslie pack kaelbling littman andrew moore reinforcement learning survey Preprocessing & Topic Modeling >
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16. Broad Topical Categories broad topical categories Preprocessing & Topic Modeling > vocab- ulary preprocess topic model (cluster/learn) topics OAI records topic model (cluster/learn) Cluster Cluster the clusters
17. Broad Topical Categories Cluster broad topical categories Cluster the clusters Classify group of keywords vocab -ulary preprocess topic model (classify) topics organized under broad topical categories group of keywords Preprocessing & Topic Modeling > vocab- ulary preprocess topic model (cluster/learn) topics OAI records topic model (cluster/learn)
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20. The “Browser”: http://yarra.calit2.uci.edu/meow/ The Browser >
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