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Natural Language Processing And Text Mining

Natural Language Processing And Text Mining

          
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About the Book

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 text-can provide useful improvements to text mining applications of all kinds. Bringing together a variety of perspectives from internationally renowned researchers, Natural Language Processing and Text Mining not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e., use of Text Mining to facilitate NLP. It explores a variety of real-world applications of NLP and text-mining algorithms in comprehensive detail, placing emphasis on the description of end-to-end solutions to real problems, and detailing the associated dif?culties that must be resolved before the algorithm can be applied and its full bene?ts realized. In addition, it explores a number of cutting-edge techniques and approaches, as well as novel ways of integrating various technologies. Nevertheless, even readers with only a basic knowledge of data mining or text mining will bene?t from the many illustrative examples and solutions.About the AuthorAnne Kao, BA., MA., MS.,Ph.D., Mathematics and Computing Technology, USA.Table of ContentsOverviewExtracting Product Features and Opinions from ReviewsExtracting Relations from TextMining Diagnostic Text Reports by Learning to Annotate Knowledge RolesA Case Study in Natural Language Based Web SearchEvaluating Self-explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic ModelsTextual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text StructuresAutomatic Document SeparationA Combination of Probabilistic Classi?cation and Finite-State Sequence Modeling Evolving Explanatory Novel Patterns for Semantically-based Text MiningHandling of Imbalanced Data in Text Classi?cation: Category Based Term WeightsAutomatic Evaluation of Ontologies Linguistic Computing with UNIX ToolsIndex.


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Product Details
  • ISBN-13: 9788184897975
  • Publisher: Elsevier
  • Binding: Paperback
  • Language: English
  • ISBN-10: 8184897979
  • Publisher Date: 2011
  • Edition: 1stEdition

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