text_dtm_prep: Prepare data for topic modelling

In DataS-DHSC/consultations: Re-usable functions for describing the responses to a public consultation or call for evidence

Description

Calculate TF-IDF scores and create a Document-Term Matrix from your dataset.

Usage

text_dtm_prep(unnest_data, grouping_var, word_col = "word")

Arguments

unnest_data	dataframe with unnested tokens
grouping_var	column used for determining what consistutes a document; with quotation marks (string) If each response is a row, add a column with row identifiers to be the grouping_var.
word_col	column name containing the unnested tokens

Value

List containing the prepared data and a Document-Term Matrix

Examples

tidytext::unnest_tokens(dummy_response, 'word', colnames(dummy_response)[7]) %>%
text_dtm_prep(., 'response_id')

DataS-DHSC/consultations documentation built on Jan. 28, 2022, 1:56 a.m.