Natural Language Processing and Text Mining

With the increasing importance of the Web and other text-heavy application areas, the demands for and interest in both text mining and natural language processing (NLP) have been rising. Researchers in text mining have hoped that NLP-the attempt to extract a fuller meaning representation from free t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kao, Anne (Editor ), Poteet, Steve R. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Information storage and retrieval systems.
Artificial intelligence.
Computational linguistics.
Microprocessors.
Computer architecture.
Computer science.
Application software.
Information Storage and Retrieval.
Artificial Intelligence.
Computational Linguistics.
Processor Architectures.
Theory of Computation.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview
  • Extracting Product Features and Opinions from Reviews
  • Extracting Relations from Text: From Word Sequences to Dependency Paths
  • Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles
  • A Case Study in Natural Language Based Web Search
  • Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models
  • Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures
  • Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling
  • Evolving Explanatory Novel Patterns for Semantically-Based Text Mining
  • Handling of Imbalanced Data in Text Classification: Category-Based Term Weights
  • Automatic Evaluation of Ontologies
  • Linguistic Computing with UNIX Tools.

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