sentiment: Classify a review as good or bad
In mdneuzerling/DrakeModelling: Using drake to Train and Execute a Model in a Custom Package
Description
Classify a review as good or bad
Usage
1
Arguments
x
Text to be classified, ideally a one-sentence product review.
random_forest
A model created with the randomForest package.
vectoriser
A vectoriser constructed with the text2vec package.
tfidf
A tfidf object constructed with the text2vec package.
If no tfidf is NULL, then weighting will not be applied.
mdneuzerling/DrakeModelling documentation built on June 26, 2020, 1:25 p.m.
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Description
Classify a review as good or bad
Usage
1 |
Arguments
x |
Text to be classified, ideally a one-sentence product review. |
random_forest |
A model created with the randomForest package. |
vectoriser |
A vectoriser constructed with the text2vec package. |
tfidf |
A tfidf object constructed with the text2vec package. If no tfidf is NULL, then weighting will not be applied. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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