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Information Retrieval and Organisation

Information Retrieval and Organisation. Revision. Dell Zhang Birkbeck, University of London. Scope: Language Modeling. 11 Probabilistic Information Retrieval 11.1 Review of Basic Probability Theory 12 Language M odels for I nformation R etrieval 12.1 Language M odels

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Information Retrieval and Organisation

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  1. Information Retrieval and Organisation Revision Dell Zhang Birkbeck, University of London

  2. Scope: Language Modeling • 11 Probabilistic Information Retrieval • 11.1 Review of Basic Probability Theory • 12 Language Models for Information Retrieval • 12.1 Language Models • 12.2 The Query Likelihood Model

  3. Scope: Text Classification • 13 Text Classification and Naive Bayes • 13.1 The Text Classification Problem • 13.2 Naive Bayes Text Classification • 13.4 Properties of Naive Bayes (except Bernoulli) • 13.6 Evaluation of Text Classification • 14 Vector Space Classification • 14.1 Document Representations and Measures of Relatedness in Vector Spaces • 14.3 k Nearest Neighbor

  4. Scope: Text Clustering • 16 Flat Clustering • 16.1 Clustering in Information Retrieval • 16.2 Problem Statement • 16.4 k-Means (except 16.4.1) • 17 Hierarchical Clustering • 17.1 Hierarchical Agglomerative Clustering • 17.2 Single-link and Complete-link Clustering (except Complete-Link)

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