Document query
Search for documents similar to the query.
query.docs(docvectors, query, vectorizer, nres = 5)
docvectors |
The vectorized documents. |
query |
The query (vectorized or raw text). |
vectorizer |
The vectorizer taht has been used to vectorize the documents. |
nres |
The number of results. |
The indices of the documents the most similar to the query.
## Not run: require (text2vec) data (movie_review) vectorizer = vectorize.docs (corpus = movie_review$review, minphrasecount = 50, returndata = FALSE) docs = vectorize.docs (corpus = movie_review$review, vectorizer = vectorizer) query.docs (docs, movie_review$review [1], vectorizer) query.docs (docs, docs [1, ], vectorizer) ## End(Not run)
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