R Deep Learning Projects

Sentiment extraction

We will use caret to try different classifiers at once:

library(caret)

We first need to prepare the training scheme:

control <- trainControl(method="cv", repeats=5)

And we will set up the different models to try:

• Random forest
• Gradient boosting machines
• Logit boost
• Naive Bayes

Do not forget to set the seed for the random number generator, to make the results repeatable:

set.seed(7) modelRF <- train(                    label~.,                     data=df,                     method="rf",                     trControl=control                   ) modelGbm <- train(                    label~.,                     data=df,                     method="gbm",                     trControl=control,                     verbose=FALSE                    )modelLogitBoost <- train(                        label~.,                         data=df,                         method="LogitBoost",                        trControl=control

                        )modelNaiveBayes <- train(                        label~.,                         data=df,                         method="nb",                         trControl=control                        )

The training ...