fit_lda: Fit LDA-model

In JulFriedrich/miRetrieve: miRNA Text Mining in Abstracts

Description

Fit LDA-model with k topics.

Usage

fit_lda(
  df,
  k,
  stopwords = stopwords_miretrieve,
  method = "gibbs",
  control = NULL,
  seed = 42,
  col.abstract = Abstract,
  col.pmid = PMID
)

Arguments

df	Data frame containing abstracts and PubMed-IDs.
k	Integer. Number of topics to fit. Must be >=2.
stopwords	Data frame containing stop words.
method	String. Either "gibbs" or "VEM".
control	Control parameters for LDA modeling. For more information, see the documentation of the LDAcontrol class in the topicmodels package.
seed	Integer. Seed for reproducibility.
col.abstract	Column containing abstracts.
col.pmid	Column containing PubMed-ID.

Details

Fit LDA-model with k topics from a data frame. fit_lda() is based on LDA() from the package topicmodels.

Value

LDA-model.

See Also

plot_perplexity()

Other LDA functions: assign_topic_lda(), plot_lda_term(), plot_perplexity()

JulFriedrich/miRetrieve documentation built on Sept. 20, 2021, 11:37 p.m.