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Lecture
Latent Semantic Indexing
Description
This lecture covers Latent Semantic Indexing (LSI), a technique for information retrieval that involves mapping documents and queries into a lower-dimensional space composed of higher-level concepts. The lecture discusses the underlying assumptions of the SMART algorithm, weighting schemes, global query expansion, and the application of LSI in document processing. It also explores the concepts of word embeddings and the skipgram model with negative sampling for deriving word embeddings.
Official source
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