tf_df_dist_diff: Helper function to calculate the Hellinger distance between...
In topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models
tf_df_dist_diff R Documentation
Helper function to calculate the Hellinger distance
between the token frequencies and document frequencies
for a specific topic's top N tokens
Description
Helper function to calculate the Hellinger distance
between the token frequencies and document frequencies
for a specific topic's top N tokens
Usage
tf_df_dist_diff(dtm_data, top_terms)
Arguments
dtm_data
a document-term matrix of token counts coercible to simple_triplet_matrix
top_terms
- a character vector of the top N tokens
Value
a single value representing the Hellinger distance
topicdoc documentation built on July 17, 2022, 1:05 a.m.
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| tf_df_dist_diff | R Documentation |
Helper function to calculate the Hellinger distance between the token frequencies and document frequencies for a specific topic's top N tokens
Description
Helper function to calculate the Hellinger distance between the token frequencies and document frequencies for a specific topic's top N tokens
Usage
tf_df_dist_diff(dtm_data, top_terms)
Arguments
dtm_data |
a document-term matrix of token counts coercible to |
top_terms |
- a character vector of the top N tokens |
Value
a single value representing the Hellinger distance
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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