R: Get Top Terms for each topic from a topic model

GetTopTerms {textmineR} | R Documentation

## Get Top Terms for each topic from a topic model

### Description

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

### Usage

    GetTopTerms(phi, M, return_matrix = TRUE)

### Arguments

`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`.

### Value

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`.

### Examples

    # 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)

[Package textmineR version 3.0.5 Index]