MaartenGr/KeyBERT

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KeyBERT KeyBERT is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings to create keywords and keyphrases that are most similar to a document. Corresponding medium post can be found here. Table of Contents About the Project Getting Started 2.1. Installation 2.2. Basic Usage 2.3. Max Sum Distance 2.4. Maximal Marginal Relevance 2.5. Embedding Models Large Language Models 1. About the Project Back to ToC Although there are already many methods available for keyword...