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Natural Language Processing and Text Mining Book

Natural Language Processing and Text Mining
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 extrac, Natural Language Processing and Text Mining has a rating of 5 stars
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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 extrac, Natural Language Processing and Text Mining
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  • Natural Language Processing and Text Mining
  • Written by author Anne Kao
  • Published by Springer-Verlag New York, LLC, November 2010
  • 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 extrac
  • 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
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Authors

Overview   Anne Kao   Stephen R. Poteet     1
Extracting Product Features and Opinions from Reviews   Ana-Maria Popescu   Oren Etzioni     9
Extracting Relations from Text: From Word Sequences to Dependency Paths   Razvan C. Bunescu   Raymond J. Mooney     29
Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles   Eni Mustafaraj   Martin Hoof   Bernd Freisleben     45
A Case Study in Natural Language Based Web Search   Giovanni Marchisio   Navdeep Dhillon   Jisheng Liang   Carsten Tusk   Krzysztof Koperski   Thien Nguyen   Dan White   Lubos Pochman     69
Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models   Chutima Boonthum   Irwin B. Levinstein   Danielle S. McNamara     91
Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures   Philip M. McCarthy   Stephen W. Briner   Vasile Rus   Danielle S. McNamara     107
Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling   Mauritius A. R. Schmidtler   Jan W. Amtrup     123
Evolving Explanatory Novel Patterns for Semantically-Based Text Mining   John Atkinson     145
Handling of Imbalanced Data in Text Classification: Category-Based Term Weights   Ying Liu   Han Tong Loh   Kamal Youcef-Toumi   Shu Beng Tor     171
Automatic Evaluation of Ontologies   Janez Brank   Marko Grobelnik   Dunja Mladenic     193
Linguistic Computing with UNIX Tools   Lothar M. Schmitt   Kiel Christianson   Renu Gupta     221
Index     259


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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 extrac, Natural Language Processing and Text Mining

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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 extrac, Natural Language Processing and Text Mining

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