article · 2006
Version Control
Ekaterina Soukhikh Ikt Fall, Ekaterina Soukhikh, Supervisor Morten, Goodwin Olsen, Leiming Chen
Cited by 0Abstract and details only
Abstract
Abstract: Automatic text classification is the task of assigning an unknown text a class of a set of classes and one important domain for machine learning. Automatic text classifiers are becoming more important with the growing amount of data present in our society. The naive Bayesian learning algorithm has proven to be a good choice in this area (as for example for spam filtering). This paper describes testing of efficiency of an automatic text classifier with naive Bayesian learning for classification of massages in mobile related forums.
Cite this paper
Fall, E. S. I., Soukhikh, E., Morten, S., Olsen, G., & Chen, L. (2006). Version Control.
Fall, Ekaterina Soukhikh Ikt, et al. “Version Control.” 2006.
Fall, Ekaterina Soukhikh Ikt, Ekaterina Soukhikh, Supervisor Morten, Goodwin Olsen, and Leiming Chen. 2006. “Version Control.”
Fall, E.S.I. et al. (2006) ‘Version Control’.
@article{fall2006version,
title = {{Version Control}},
author = {Fall, Ekaterina Soukhikh Ikt and Soukhikh, Ekaterina and Morten, Supervisor and Olsen, Goodwin and Chen, Leiming},
year = {2006}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.