Lectures related to Latent Semantic Indexing: Concepts and Applications

Covers the concept of singular values in linear algebra and their properties, including diagonalization and practical examples.

Explores lexical semantics, word sense, semantic relations, and WordNet, highlighting applications in language engineering and information retrieval.

Covers the basics of information retrieval, including text-based retrieval and indexing techniques.

Covers the implementation of Fagin's algorithm for information retrieval, focusing on efficient document retrieval.

Covers the norm of a matrix, operator, singular values, and unitary matrices in linear algebra.

Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.

Covers the basics of Natural Language Processing, including challenges, linguistic processing levels, and the impact of power laws.

Explores optimization techniques, word embeddings, and recommendation systems in machine learning.