Update dependency top2vec to v1.0.36

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This PR contains the following updates:

Package	Change	Age	Confidence
top2vec	1.0.26 -> 1.0.36

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Release Notes

ddangelov/Top2Vec (top2vec)

v1.0.34: hierarchical topic reduction improvements

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

v1.0.33: Topic indexing bugfix

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v1.0.32

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Indexing bugfix

v1.0.31: gpu hdbscan and topic indexing

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1. Added gpu hdsbcan
2. Added topic indexing

v1.0.30: gpu umap

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

v1.0.29: Adding compute_topics

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

v1.0.28: Sklearn change in API fix

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get_feature_names() -> get_feature_names_out()

v1.0.27: Phrases and new embedding options

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• 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

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