GetTopTerms: Get Top Terms for each topic from a topic model
In textmineR: Functions for Text Mining and Topic Modeling

Description Usage Arguments Value Examples

View source: R/topic_modeling_utilities.R

Takes topics by terms matrix and returns top M terms for each topic

1	GetTopTerms(phi, M, return_matrix = TRUE)

`phi`	A matrix whose rows index topics and columns index words
`M`	An integer for the number of terms to return
`return_matrix`	Do you want a `matrix` or `data.frame`/`tibble` returned? Defaults to `TRUE`.

If return_matrix = TRUE (the default) then a matrix. Otherwise, returns a data.frame or tibble whose columns correspond to a topic and whose m-th row correspond to the m-th top term from the input phi.

# Load a pre-formatted dtm and topic model
data(nih_sample_topic_model) 

top_terms <- GetTopTerms(phi = nih_sample_topic_model$phi, M = 5)

str(top_terms)