getSentiment: Machine Learning Sentiment Analyzer Transform

Applies to version 1.3.0 of package MicrosoftML.

Description

Scores natual language text and creates a column that contains probabilities that the sentiments in the text are positive.

Usage

  getSentiment(vars, ...)

Arguments

vars

A character vector or list of variable names to transform. If named, the names represent the names of new variables to be created.

...

Additional arguments sent to compute engine.

Details

The getSentiment transform returns the probability that the sentiment of a natural text is positive. Currently supports
only the English language.

Value

A maml object defining the transform.

Author(s)

See Also

rxFastTrees, rxFastForest, rxNeuralNet, rxOneClassSvm, rxLogisticRegression, rxFastLinear.

Examples


# Create the data
   CustomerReviews <- data.frame(Review = c(
   "I really did not like the taste of it",
   "It was surprisingly quite good!",
   "I will never ever ever go to that place again!!"),
   stringsAsFactors = FALSE)

 # Get the sentiment scores
   sentimentScores <- rxFeaturize(data = CustomerReviews, mlTransforms = getSentiment(vars = list(SentimentScore = "Review")))

 # Let's translate the score to something more meaningful
   sentimentScores$PredictedRating <- ifelse(sentimentScores$SentimentScore > 0.6,                                    "AWESOMENESS", "BLAH")

 # Let's look at the results
   sentimentScores