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nlp:cs598r-winter-2006-proposal [2015/04/23 21:27]
ryancha created
nlp:cs598r-winter-2006-proposal [2015/04/23 21:33] (current)
ryancha
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 ===Introduction=== ===Introduction===
-Dr. Ringger, Mark Gulbrandsen ([[User:Msg26]]), Daniel Walker, and Scott Chun are studying text classification and text clustering using Natural Language Processing techniques. The course will cover Naive Bayes, Expectation Maximization,​ Maximum Entropy, several feature selection topics, several Support Vector Machines topics, and several Clustering topics. The experimental part of this course is searching for a novel use of these concepts. The expected outcome is a paper submitted to a substantial conference in the NLP field.+Dr. Ringger, Mark Gulbrandsen ([[Msg26]]),​ Daniel Walker, and Scott Chun are studying text classification and text clustering using Natural Language Processing techniques. The course will cover Naive Bayes, Expectation Maximization,​ Maximum Entropy, several feature selection topics, several Support Vector Machines topics, and several Clustering topics. The experimental part of this course is searching for a novel use of these concepts. The expected outcome is a paper submitted to a substantial conference in the NLP field.
  
 ===Goals=== ===Goals===
nlp/cs598r-winter-2006-proposal.txt ยท Last modified: 2015/04/23 21:33 by ryancha
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