assess_tm_quality: Transform the documents stored in a dataframe in a bag of...

In NicolasJBM/lexana: Functions and interfaces to facilitate lexical analyses

Description

Transform the documents stored in a dataframe in a bag of words.

Usage

assess_tm_quality(doc_to_term = NA, topic_nbr = c(0),
  prevalence = NA, init.type = "Spectral", seed_nbr = 1,
  keywords = NA, topic_per_doc = 1, terms_per_topic = 5)

Arguments

doc_to_term	dtm object.
topic_nbr	Numeric vector
prevalence	Formula
init.type	Character.
seed_nbr	Numeric vector
keywords	Tibble.
topic_per_doc	Integer.
terms_per_topic	Integer.

Value

A tibble with various metrics of tm quality for each possible combination of the topic number and seed

NicolasJBM/lexana documentation built on July 3, 2019, 10 a.m.