ddangelov/Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

PythonJupyter Notebookword-embeddingstopic-modelingsemantic-searchberttext-searchtopic-searchdocument-embeddingtopic-modellingtext-semantic-similaritysentence-encoderpre-trained-language-modelstopic-vectorsentence-transformerstop2vec
This is stars and forks stats for /ddangelov/Top2Vec repository. As of 25 Apr, 2024 this repository has 2702 stars and 358 forks.

Updates: New pre-trained transformer models available Ability to use any embedding model by passing callable to embedding_model Document chunking options for long documents Phrases in topics by setting ngram_vocab=True Top2Vec Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors. Once you train the Top2Vec model you can: Get number of detected topics. Get topics. Get topic sizes. Get...
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