predict_topic: Apply a STM to a new corpus
In NicolasJBM/lexR: Toolbox to manipulate and analyze texts

Apply a topic model to a new corpus of documents.

predict_topic(
  bow,
  topic_model,
  keywords = NULL,
  min_gamma = 0.1,
  min_common = 1
)

`bow`	Tibble. Bag of words as returned by the function create_bow
`topic_model`	List. Structural topic model as returned by the function create_stm.
`keywords`	Tibble. One variable specifying the "document", one variable containing the "keywords" as a character vector.
`min_gamma`	Numeric. Minimum strength of the relationship between topic and document.
`min_common`	Integer. Maximum number of topics allowed per document.