Welcome to Top2Vec’s documentation!

User Guide / Tutorial:

• Top2Vec
  • Benefits
  • How does it work?
  • Installation
  • Usage
  • Pretrained Embedding Models
  • Citation
  • Example

API Reference:

• Top2Vec API Guide
  • Top2Vec
    • Top2Vec.add_documents()
    • Top2Vec.change_to_download_embedding_model()
    • Top2Vec.compute_topics()
    • Top2Vec.delete_documents()
    • Top2Vec.generate_topic_wordcloud()
    • Top2Vec.get_documents_topics()
    • Top2Vec.get_num_topics()
    • Top2Vec.get_topic_hierarchy()
    • Top2Vec.get_topic_sizes()
    • Top2Vec.get_topics()
    • Top2Vec.hierarchical_topic_reduction()
    • Top2Vec.index_document_vectors()
    • Top2Vec.index_topic_vectors()
    • Top2Vec.index_word_vectors()
    • Top2Vec.load()
    • Top2Vec.query_documents()
    • Top2Vec.query_topics()
    • Top2Vec.save()
    • Top2Vec.search_documents_by_documents()
    • Top2Vec.search_documents_by_keywords()
    • Top2Vec.search_documents_by_topic()
    • Top2Vec.search_documents_by_vector()
    • Top2Vec.search_topics()
    • Top2Vec.search_topics_by_vector()
    • Top2Vec.search_words_by_vector()
    • Top2Vec.set_embedding_model()
    • Top2Vec.similar_words()
    • Top2Vec.update_embedding_model_path()
  • default_tokenizer()
  • get_chunks()
  • get_random_chunks()

Indices and tables

• Index

• Module Index

• Search Page