Get Document Topics

Get document-topics matrix.

get_docs_topics(corpus)

# S3 method for gensim.interfaces.CorpusABC
get_docs_topics(corpus)

Arguments

corpus	Corpus.

Examples

docs <- prepare_documents(corpus)
#> → Preprocessing 9 documents
#> ← 9 documents after perprocessing
dictionary <- corpora_dictionary(docs)
corpora <- doc2bow(dictionary, docs)
corpus_mm <- serialize_mmcorpus(corpora)
tfidf <- model_tfidf(corpus_mm)
corpus_transformed <- wrap(tfidf, corpora)

# fit model
lsi <- model_lsi(corpus_transformed, id2word = dictionary, num_topics = 2L)
wrapped_corpus <- wrap(lsi, corpus_transformed)
get_docs_topics(wrapped_corpus)
#> # A tibble: 9 x 4
#>   dimension_1_x dimension_1_y dimension_2_x dimension_2_y
#>           <dbl>         <dbl>         <dbl>         <dbl>
#> 1             0        0.0660             1       -0.520 
#> 2             0        0.197              1       -0.761 
#> 3             0        0.0899             1       -0.724 
#> 4             0        0.0759             1       -0.632 
#> 5             0        0.102              1       -0.574 
#> 6             0        0.703              1        0.161 
#> 7             0        0.877              1        0.168 
#> 8             0        0.910              1        0.141 
#> 9             0        0.617              1       -0.0539