proc_pretrained_vec: This function calculates the Word2Vec embeddings
In reaganmozer/textmatch: Toolkit for Matching Textual Data and Evaluating Textual Similarity
View source: R/get_word2vec_glove.R
proc_pretrained_vec R Documentation
This function calculates the Word2Vec embeddings
Description
This function calculates the Word2Vec embeddings
Usage
proc_pretrained_vec(p_vec)
Arguments
p_vec
A character vector or subset of the FoxCNN corpus where each element is a document
Value
A vector of predicted match quality scores on a scale of 0-10.
reaganmozer/textmatch documentation built on March 7, 2024, 2:41 p.m.
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View source: R/get_word2vec_glove.R
| proc_pretrained_vec | R Documentation |
This function calculates the Word2Vec embeddings
Description
This function calculates the Word2Vec embeddings
Usage
proc_pretrained_vec(p_vec)
Arguments
p_vec |
A character vector or subset of the FoxCNN corpus where each element is a document |
Value
A vector of predicted match quality scores on a scale of 0-10.
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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