Top2Vec Versions Save

Top2Vec learns jointly embedded topic, document and word vectors.

1.0.34

6 months ago
  • fixed loading bug
  • hierarchical topic reduction bug
  • added parameter for optimizing hierarchical reduction speed

1.0.33

6 months ago

1.0.32

6 months ago

Indexing bugfix

1.0.31

6 months ago
  1. Added gpu hdsbcan
  2. Added topic indexing

1.0.30

6 months ago
  1. Changed default embedding model to universal-sentence-encoder-multilingual.
  2. Added option for GPU umap with gpu_umap parameter.

1.0.29

1 year ago
  • Added a method for computing topics.
  • Exposed topic deduplication parameter topic_merge_delta.
  • Bug fixes.

1.0.28

1 year ago

get_feature_names() -> get_feature_names_out()

1.0.27

2 years ago
  • New pre-trained transformer models available
  • Ability to use any embedding model by passing callable to embedding_model
  • New embedding_batch_size option
  • Document chunking options for long documents
  • Phrases in topics by setting ngram_vocab=True

1.0.26

2 years ago

1.0.25

2 years ago

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.