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Natural Language Processing and Text Mining

Overview of attention for book
Cover of 'Natural Language Processing and Text Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Overview
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    Chapter 2 Extracting Product Features and Opinions from Reviews
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    Chapter 3 Extracting Relations from Text: From Word Sequences to Dependency Paths
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    Chapter 4 Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles
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    Chapter 5 A Case Study in Natural Language Based Web Search
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    Chapter 6 Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models
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    Chapter 7 Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures
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    Chapter 8 Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling
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    Chapter 9 Evolving Explanatory Novel Patterns for Semantically-Based Text Mining
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    Chapter 10 Handling of Imbalanced Data in Text Classification: Category-Based Term Weights
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    Chapter 11 Automatic Evaluation of Ontologies
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    Chapter 12 Linguistic Computing with UNIX Tools
Attention for Chapter 1: Overview
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