Semantic Kernel

Semantic kernel is a mathematical representation of text data that captures the underlying semantics, concepts, and relationships between words and documents in a high-dimensional vector space. It is used in natural language processing (NLP) and information retrieval tasks, such as document classification, clustering, and similarity analysis, for capturing semantic meaning and context in text data. Readers can explore semantic kernel algorithms, embeddings, and applications for analyzing and understanding text data, enabling advanced NLP tasks and applications.

Comprehensive roadmap for semantic-kernel

By roadmap.sh