Natural Language Processing and Text Mining
(Sprache: Englisch)
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from...
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Produktinformationen zu „Natural Language Processing and Text Mining “
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Klappentext zu „Natural Language Processing and Text Mining “
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Inhaltsverzeichnis zu „Natural Language Processing and Text Mining “
- Overview- Extracting Product Features and Opinions from Reviews
- Extracting Relations from Text
- 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
- Index
Bibliographische Angaben
- 2006, 265 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben:Kao, Anne; Poteet, Steve R.
- Herausgegeben: Anne Kao, Stephen R. Poteet
- Verlag: Springer, London
- ISBN-10: 184628175X
- ISBN-13: 9781846281754
- Erscheinungsdatum: 12.12.2006
Sprache:
Englisch
Rezension zu „Natural Language Processing and Text Mining “
From the reviews:"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. ... Overall, the contributions are well balanced with respect to the different approaches presented ... . The volume appears to serve its intended purpose, which is to provide an electric overview of the international research efforts in text mining, featuring relevant tools and techniques from NLP and machine learning." (Peter Jackson, Computing Reviews, March, 2008)
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