Top2Vec learns jointly embedded topic, document and word vectors.
Indexing bugfix
universal-sentence-encoder-multilingual
.gpu_umap
parameter.topic_merge_delta
.get_feature_names() -> get_feature_names_out()
embedding_model
embedding_batch_size
optionngram_vocab=True
Added query_documents
and query_topics
methods which allow for using a sequence of text such as a question, a sentence, a paragraph or a document to query documents or topics.
Added num_topics
parameter to get_documents_topics
method which allows retrieving multiple topics per document.