maxent is a package with tools for data classification using multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm text mining package.
nnet, mlogit, maxent, Rcpp, tm, Matrix, slam, SparseM
Econometrics, NumericalMathematics, HighPerformanceComputing, Multivariate, NaturalLanguageProcessing, SocialSciences, MachineLearning
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For attribution, please cite this work as
Jurka, "The R Journal: maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification", The R Journal, 2012
BibTeX citation
@article{RJ-2012-007,
author = {Jurka, Timothy P.},
title = {The R Journal: maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification},
journal = {The R Journal},
year = {2012},
note = {https://doi.org/10.32614/RJ-2012-007},
doi = {10.32614/RJ-2012-007},
volume = {4},
issue = {1},
issn = {2073-4859},
pages = {56-59}
}