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Matrix Decomposition Methods in Information Retrieval

Matrix Decomposition Methods in Information Retrieval

Matrix Decomposition Methods in Information Retrieval. Thomas Hofmann Department of Computer Science Brown University www.cs.brown.edu/people/th (& Chief Scientist, RecomMind Inc.). In collaboration with: Jan Puzicha, UC Berkeley & RecomMind David Cohen, CMU & Burning Glass. Overview .

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1.01k views • 79 slides
INFORMATION SEARCH

INFORMATION SEARCH

INFORMATION SEARCH. Presenter: Pham Kim Son Saint Petersburg State University. Overview. Introduction Overview of IR system and basic terminologies Classical models of Information Retrieval Boolean Model Vector Model Modern models of Information Retrieval Latent Semantic Indexing

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469 views • 46 slides
Combinatorial Scientific Computing: A View to the Future

Combinatorial Scientific Computing: A View to the Future

Combinatorial Scientific Computing: A View to the Future. Bruce Hendrickson Senior Manager for Math & Computer Science Sandia National Laboratories, Albuquerque, NM University of New Mexico, Computer Science Dept. Combinatorial Scientific Computing.

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415 views • 30 slides
Preserving Semantic Content in Text Mining Using Multigrams

Preserving Semantic Content in Text Mining Using Multigrams

Preserving Semantic Content in Text Mining Using Multigrams. Yasmin H. Said Department of Computational and Data Sciences George Mason University QMDNS 2010 - May 26, 2010 This is joint work with Edward J. Wegman. Outline. Background on Text Mining Bigrams

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406 views • 29 slides
Preserving Semantic Content in Text Mining Using Multigrams

Preserving Semantic Content in Text Mining Using Multigrams

Preserving Semantic Content in Text Mining Using Multigrams. Yasmin H. Said Department of Computational and Data Sciences George Mason University QMDNS 2010 - May 26, 2010 This is joint work with Edward J. Wegman. Outline. Background on Text Mining Bigrams

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295 views • 29 slides
Introduction

Introduction

Latent semantic space: Iterative scaling improves precision of inter-document similarity measurement.

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292 views • 22 slides
Final Review

Final Review

Final Review. 7-Text Mining. Unstructured Data Two modes of mining: analysis vs. retrieval Precision vs. Recall as metric With lots of data you can find anything Tools for text mining Stopwords, stemming Term document matrix TF-IDF Latent Semantic Indexing (LSI)

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177 views • 8 slides

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