Difference between revisions of "Class meeting for 10-605 Phrase Finding"

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This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2014]].
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This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Fall 2016|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall 2016]].
 
   
 
   
 
=== Slides ===
 
=== Slides ===
  
* [http://www.cs.cmu.edu/~wcohen/10-605/messages.pptx Slides in Powerpoint]
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* [http://www.cs.cmu.edu/~wcohen/10-605/2016/workflow-4-and-phrases.pptx Slides in Powerpoint],  [http://www.cs.cmu.edu/~wcohen/10-605/2016/workflow-4-and-phrases.pdf Slides in Powerpoint].  The slides also cover Spark and other map-reduce languages.
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=== Quiz ===
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* [https://qna.cs.cmu.edu/#/pages/view/42 Quiz]
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=== Sample Code ===
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* A [http://www.cs.cmu.edu/~wcohen/10-605/code/pig-examples.tgz tarball with code for phrase-finding in PIG].
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* Some sample data for this is on HDFS on opencloud under /user/wcohen/phrases/data
  
 
=== Readings for the Class ===
 
=== Readings for the Class ===
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* [http://arxiv.org/pdf/cs.LG/0212032 Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews], Turney, ACL 2002
 
* [http://arxiv.org/pdf/cs.LG/0212032 Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews], Turney, ACL 2002
 
* [http://arxiv.org/pdf/cs.CL/0212015 Answering subcognitive Turing Test questions: A reply to French], Turney, Journal of Experimental and Theoretical Artificial Intelligence, 13 (4), 409-419.
 
* [http://arxiv.org/pdf/cs.CL/0212015 Answering subcognitive Turing Test questions: A reply to French], Turney, Journal of Experimental and Theoretical Artificial Intelligence, 13 (4), 409-419.
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=== Things to Remember ===
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* The request-and-answer pattern
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* BLRT and pointwise KL-divergence  statistics

Latest revision as of 16:38, 1 August 2017

This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2016.

Slides

Quiz

Sample Code

Readings for the Class

Also discussed

Things to Remember

  • The request-and-answer pattern
  • BLRT and pointwise KL-divergence statistics