SemanticBasedFeatures: Senti4SD Semantic based features
In M3SOulu/TextFeatures: Text Features for NLP
SemanticBasedFeatures R Documentation
Senti4SD Semantic based features
Description
Computes semantic based features.
Usage
SemanticBasedFeatures(tokens, vectors, dsm)
Arguments
tokens
Token data.table containing ids for document (id),
token word.
vectors
Polarity vectors for positive, negative, objective
and subjective words.
dsm
word2vec object representing the Distributional Semantic
Model.
Value
A data.table with features computed for each document.
See Also
LoadDSM
PolarityVectors
M3SOulu/TextFeatures documentation built on June 24, 2022, 4:56 p.m.
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| SemanticBasedFeatures | R Documentation |
Senti4SD Semantic based features
Description
Computes semantic based features.
Usage
SemanticBasedFeatures(tokens, vectors, dsm)
Arguments
tokens |
Token data.table containing ids for document (id), token word. |
vectors |
Polarity vectors for positive, negative, objective and subjective words. |
dsm |
word2vec object representing the Distributional Semantic Model. |
Value
A data.table with features computed for each document.
See Also
LoadDSM
PolarityVectors
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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