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Concept

Latent semantic analysis

Related lectures (32)

Latent Space Models: Inference and Applications Log in to Mediaspace to watch this video

Explores latent space models, network representations, spectral decompositions, and parameter estimation methods.

Optimization in Machine Learning Log in to Mediaspace to watch this video

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

Information Retrieval Basics Log in to Mediaspace to watch this video

Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.

Latent Semantic Indexing: Concepts and Applications Log in to Mediaspace to watch this video

Explores latent semantic indexing, vocabulary construction, document matrix creation, query transformation, and document retrieval using cosine similarity.

Untitled Log in to Mediaspace to watch this video

Latent semantic indexing: inverted files Log in to Mediaspace to watch this video

Explores term-offset indices in inverted files and relevance feedback solutions.

Word Embeddings: Glove and Semantic Relationships Log in to Mediaspace to watch this video

Explores word embeddings, Glove model, semantic relationships, subword embeddings, and syntactic relationships.

Text Models: Word Embeddings and Topic Models Log in to Mediaspace to watch this video

Explores word embeddings, topic models, Word2vec, Bayesian Networks, and inference methods like Gibbs sampling.

Introduction to Natural Language Processing Log in to Mediaspace to watch this video

Introduces the basics of Natural Language Processing, covering challenges, application domains, and linguistic processing levels.

Introduction to Information Retrieval Log in to Mediaspace to watch this video

Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.

Natural Language Processing Log in to Mediaspace to watch this video

Introduces Natural Language Processing, covering text preprocessing, sentiment analysis, and topic analysis, with a focus on building a climate change risk index.

Variational Autoencoders Log in to Mediaspace to watch this video

Covers Variational Autoencoders, a probabilistic approach to autoencoders for data generation and feature representation, with applications in Natural Language Processing.