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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kao, Anne (Επιμελητής έκδοσης), Poteet, Stephen R. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.