getsentiment.md

title	description	author	ms.author	ms.date	ms.service	ms.subservice	ms.topic	keywords	monikerRange
getSentiment function (MicrosoftML)	Scores natural language text and creates a column that contains probabilities that the sentiments in the text are positive.	rothja	jroth	07/15/2019	sql	machine-learning	reference	(MicrosoftML) getSentiment nlp sentiment text transform	>=sql-server-2016||>=sql-server-linux-ver15

getSentiment: Machine Learning Sentiment Analyzer Transform

Scores natural 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)

Microsoft Corporation Microsoft Technical Support

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