top_n: Calculate the Top N Cosines
In SemanticPriming/semanticprimeR: Semantic Priming Across Many Languages and Related Projects
top_n R Documentation
Calculate the Top N Cosines
Description
This function takes a matrix of cosine similarity values,
where the row and column names are tokens. The values will
be calculated for the columns (so if you have a non-square)
matrix, make sure the columns are the values you want.
Usage
top_n(similarity, n)
Arguments
similarity
the matrix of cosine values.
n
the number of most related cosine values you want
to return. Remember that you will get token-token cosine back
as a value of 1, so use n+1 to get the number you want.
Value
A dataframe of token-token-cosine values.
Examples
# af_top_sim <- top_n(af_cosine, 6)
SemanticPriming/semanticprimeR documentation built on Dec. 5, 2024, 7:59 p.m.
R Package Documentation
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| top_n | R Documentation |
Calculate the Top N Cosines
Description
This function takes a matrix of cosine similarity values, where the row and column names are tokens. The values will be calculated for the columns (so if you have a non-square) matrix, make sure the columns are the values you want.
Usage
top_n(similarity, n)
Arguments
similarity |
the matrix of cosine values. |
n |
the number of most related cosine values you want to return. Remember that you will get token-token cosine back as a value of 1, so use n+1 to get the number you want. |
Value
A dataframe of token-token-cosine values.
Examples
# af_top_sim <- top_n(af_cosine, 6)
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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