'Computer Science' Category
POTW 6/3/07: Discussion of “A Comparison of Event Models for Naive Bayes Text Classification” by Andrew McCallum and Kamal Nigam
We are reading “A Comparison of Event Models for Naive Bayes Text Classification” by McCallum and Nigam. Text classification is the process of assigning a document to one or more categories (we looked at classification/categorization earlier when exploring Support Vector Machines, SVMs). My understanding of the difference between categorization and classification is that categorization has [...]
POTW 6/3/07: “A Comparison of Event Models for Naive Bayes Text Classification” by Andrew McCallum and Kamal Nigam
Paper of the week for the week of June 3, 2007 is “A Comparison of event Models for Naive Bayes Text Classification” by Andrew McCallum and Kamal Nigam. This paper promises to shed some light on different ways of using bayesian classifiers. It might be useful to do some background reading on naive Bayes starting [...]
POTW 5/21/07: Discussion of “A Study on Retrospective and On-Line Event Detection” by Yang, Pierce and Carbonell
Yang’s paper on on-line event detection (“A Study on Retrospective and On-Line Event Detection“) discusses the use of common text retrieval techniques to automatically detect events in news streams. Imagine that you are responsible for monitoring all the major news feeds in every single country your company does business in order to advise the CEO [...]
POTW 5/21/07: “A Study on Retrospective and On-Line Event Detection” by Yang, Pierce and Carbonell
Due to the Memorial Day weekend, and visiting family, I am going to extend this paper into this week.
POTW 5/21/07: “A Study on Retrospective and On-Line Event Detection” by Yang, Pierce and Carbonell
Paper of the Week for May 20, 2007 is “A Study on Retrospective and On-Line Event Detection” by Yiming Yang, Tom Pierce and Jaime Carbonell.