Description Usage Arguments Value
Use vector algebra on word embeddings of most relevant words in topics to derive single topic label
1 | getTopicLabel(lambda = 0.3, lda, word_vector)
|
lambda |
A numeric from 0 to 1. This determines the relevancy score |
lda |
A pre-trained LatentDirichletAllocation model. |
word_vector |
A numeric matrix. Column-bound word vectors. |
A character vector
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