'Natural Language Processing (NLP)' Category
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
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.
POTW 5/14/07: Discussion of “Discovering Trends in Text Databases” by Lent et. al.
This week’s paper, “Discovering Trends in Text Databases” by Lent is my first look at some text mining tools and applications. The paper discusses a method for identifying trends in databases. In this case, a trend is defined as “a specific subsequence of the history of a phrase that satisfies the users’ query over the [...]
POTW 5/14/07: “Discovering Trends in Text Databases” by Lent et. al.
Ah, good to be back! This week’s paper is “Discovering Trends in Text Databases” by Brian Lent, Rakesh Agrawal and Ramakrishnan Srikant.