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Description

This paper evaluates prediction and topic modelling methods through the task of word prediction. In our word prediction experiment, we compare some existing and two novel methods, including a version of Cooccurrence, two versions of K-Nearest-Neighbor method and Latent semantic indexing, against a baseline algorithm. Furthermore, we explore the effects of using different similarity functions on the accuracies of our prediction methods. Finally, without much modifications to the framework, we were also able to perform tag classification on StackOverflow posts.

Details

Title
On Word Prediction Methods
Creator
Kuo, Darren, Author
EECS Department, University of California, Publisher
Published
2011-12-16
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2011-147
Type
Text
Format
technical reports
Extent
22 p
Archive
The Engineering Library
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