Abstract
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.
Highlights
The information era has provided political scientists with a wealth of data, yet along with this data has come the need to make sense of it all
In recent years, supervised machine learning has become a boon in the social sciences, supplementing assistants with a computer that can classify documents with comparable accuracy
One of the main programming languages used for supervised learning in political science is R, which contains a plethora of machine learning add-ons via its package repository, CRAN
Summary
The information era has provided political scientists with a wealth of data, yet along with this data has come the need to make sense of it all. Researchers have spent the past two decades manually classifying, or "coding" data according to their specifications—a monotonous task often assigned to undergraduate research assistants. In recent years, supervised machine learning has become a boon in the social sciences, supplementing assistants with a computer that can classify documents with comparable accuracy. One of the main programming languages used for supervised learning in political science is R, which contains a plethora of machine learning add-ons via its package repository, CRAN
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