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Lecture
Latent Semantic Indexing: Concepts and Applications
Description
This lecture covers the concept of latent semantic indexing, starting with building a vocabulary from a corpus and constructing a term-document matrix. It then delves into performing latent semantic indexing by selecting the top singular values, transforming queries, and retrieving relevant documents using cosine similarity. The lecture also explains the process of plotting terms using principal concepts and evaluating the retrieval results.
Official source
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