Assign topics to abstracts based on an LDA model.
assign_topic_lda(df, lda_model, topic.names, col.pmid = PMID)
Data frame to assign topics to. Should be the same data frame that the LDA model was fitted on.
LDA-model.
Character vector. Vector containing names of the
new topics. Must have the same length as the number of topics lda_model
was fitted on.
Symbol. Column containing PubMed-IDs.
Data frame with topics assigned to each abstract based on an LDAmodel.
Assign topic to abstracts based on an LDA model.
To identify the subject of a topic, use plot_lda_term()
.
fit_lda()
, plot_lda_term()
, assign_topic()
Other LDA functions:
fit_lda()
,
plot_lda_term()
,
plot_perplexity()