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Lecture
Information Retrieval Indexing: Latent Semantic Indexing
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Related lectures (28)
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Information Retrieval Basics
Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.
Lexical Semantics
Explores lexical semantics, word sense, semantic relations, and WordNet, highlighting applications in language engineering and information retrieval.
Algorithmic Complexity: Theta Notation
Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.
Complexity of Algorithms
Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Complexity of Algorithms: Big-O Notation
Explores algorithm complexity, big-O notation, induction, recursion, and analysis of running times, covering NP problems and complexity classes.
Simon Problem 4: Quantum State and Complexity Analysis
Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.
Dijkstra's Algorithm: All-Pairs
Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.
Complexity of Algorithms: Quiz + Answers
Covers the time complexity of algorithms and includes a quiz.
Latent Semantic Indexing: Concepts and Applications
Explores latent semantic indexing, vocabulary construction, document matrix creation, query transformation, and document retrieval using cosine similarity.
Introduction to Information Retrieval
Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.
