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| − | ==RTextTools - A Supervised LearningPackage for Text Classification==
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| − | http://www.rtexttools.com/
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| − | https://cran.r-project.org/web/packages/RTextTools/index.html
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| − | The '''''train_model()''''' function takes each algorithm, one by one, to produce an object passable to '''''classify_model().'''''
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| − | A convenience '''''train_models()''''' function trains all models at once by passing in a vector of model requests. The syntax below demonstrates model creation for all nine algorithms:
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| − | {| class="wikitable"
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| − | |+
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| − | ! rowspan="2" |Algorithms
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| − | ! rowspan="2" |Author
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| − | ! rowspan="2" |From package
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| − | ! rowspan="2" |Keyword
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| − | ! colspan="2" |Accuracy
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| − | |-
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| − | !Fake news dataset
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| − | !Fake news challenge dataset
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| − | |-
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| − | |General linearized models
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| − | |Friedman et al., 2010
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| − | |[https://cran.r-project.org/web/packages/glmnet/index.html glmnet]
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| − | |GLMNET*
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| − | |-
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| − | |Support vector machine
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| − | |Meyer et al., 2012
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| − | |[https://cran.r-project.org/web/packages/e1071/index.html e1071]
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| − | |SVM*
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| − | |Maximum entropy
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| − | |Jurka, 2012
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| − | |[https://cran.r-project.org/web/packages/maxent/index.html maxent]
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| − | |MAXENT*
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| − | |-
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| − | |Classification or regression tree
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| − | |Ripley., 2012
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| − | |[https://cran.r-project.org/web/packages/tree/index.html tree]
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| − | |TREE
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| − | |Random forest
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| − | |Liawand Wiener, 2002
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| − | |[https://cran.r-project.org/web/packages/randomForest/index.html randomForest]
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| − | |RF
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| − | |Boosting
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| − | |Tuszynski, 2012
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| − | |[https://cran.r-project.org/web/packages/caTools/index.html caTools]
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| − | |BOOSTING
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| − | |Neural networks
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| − | |Venables and Ripley, 2002
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| − | |[https://cran.r-project.org/web/packages/nnet/index.html nnet]
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| − | |NNET
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| − | |Bagging
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| − | |Peters and Hothorn, 2012
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| − | |[https://cran.r-project.org/web/packages/ipred/index.html ipred]
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| − | |BAGGING**
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| − | |Scaled linear discriminant analysis
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| − | |Peters and Hothorn, 2012
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| − | |[https://cran.r-project.org/web/packages/ipred/index.html ipred]
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| − | |SLDA**
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| − | | colspan="6" |* Low-memory algorithm
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| − | <nowiki>**</nowiki> Very high-memory algorithm
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| − | |}
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| − | GLMNET <- train_model(container,"GLMNET")
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| − | <br />
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