2007 NaturalLanguageProcessingandTex

• (Kao & Poteet, 2007) ⇒ Anne Kao, and Steve R. Poteet. (2007). "Natural Language Processing and Text Mining".; Springer Publishing Company, Incorporated. ISBN:184628175X, 9781846281754. DOI: 10.1007/978-1-84628-754-1.

Subject Headings: Natural Language Processing System; Text Mining System

Notes

• Google Books: https://books.google.ca/books?id=CVtxFWbKT7wC

Cited By

• Google Scholar: ~ 304 Citations (Retrieved:2019-10-04).
• ACM DL: ~ 21 Citations (Retrieved:2019-10-04).
• Semantic Scholar: ~ 67 Citations (Retrieved:2019-10-04).
• Book Metrix: ~ 266 Citations (Retrieved:2019-10-04).

Quotes

Abstract

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.

About This Book

Introduction

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 difficulties that must be resolved before the algorithm can be applied and its full benefits 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 benefit from the many illustrative examples and solutions. Topics and features:

• Describes novel and high-impact text mining and/or natural language applications
• Points out typical traps in trying to apply NLP to text mining
• Illustrates preparation and preprocessing of text data – offering practical issues and examples
• Surveys related supporting techniques, problem types, and potential technique enhancements
• Examines the interaction of text mining and NLP

This state-of-the-art, practical volume will be an essential resource for professionals and researchers who wish to learn how to apply text mining and language processing techniques to real world problems. In addition, it can be used as a supplementary text for advanced students studying text mining and NLP.

Keywords

• Matching, Processing, Signatur, Text-Mining, UNIX, Algorithms, Classification, Data Mining, Latent Semantic Analysis, Learning, Linear Optimization, Modeling, Natural Language Processing, Semantic Analysis, Service-Oriented Computing.

Chapter 1

• (Kao & Poteet, 2007) ⇒ Anne Kao, and Stephen R. Poteet (2007). "Overview". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing". ISBN: 978-1-84628-175-4, 978-1-84628-754-1. Springer. DOI: 10.1007/978-1-84628-754-1_1.

Chapter 2

• (Popescu & Etzioni, 2007) ⇒ Ana-Maria Popescu, Orena Etzioni (2007). “Extracting Product Features and Opinions from Reviews". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing". ISBN: 978-1-84628-175-4, 978-1-84628-754-1. Springer. DOI:10.1007/978-1-84628-754-1_2.

Chapter 3

• (Bunescu & Mooney, 2007) ⇒ Razvan C. Bunescu, Raymond Mooney. (2007). “Extracting Relations from Text: From Word Sequences to Dependency Paths". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_3.

Chapter 4

• (Mustafaraj et al., 2007) ⇒ Eni Mustafaraj, Martin Hoof, Bernd Freisleben (2007)."Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_4.

Chapter 5

• (Marchisio et al., 2007) ⇒ Giovanni Marchisio, Navdeep Dhillon, Jisheng Liang, Carsten Tusk, Krzysztof Koperski, Thien Nguyen, Dan White and Lubos Pochman. (2007)."A Case Study in Natural Language Based Web Search". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_5.

Chapter 6

• (Boonthum et al., 2007) ⇒ Chutima Boonthum, Irwin B. Levinstein, and Danielle S. McNamara (2007)."Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_6.

Chapter 7

• (McCarthy et al., 2007) ⇒ Philip M. McCarthy, Stephen W. Briner, Vasile Rus, and Danielle S. McNamara (2007)."Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_7.

Chapter 8

• (Schmidtler & Amtrup, 2007) ⇒ Mauritius A. R. Schmidtler, and Jan W. Amtrup (2007)."Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_8.

Chapter 9

• (Atkinson, 2007) ⇒ John Atkinson (2007)."Evolving Explanatory Novel Patterns for Semantically-Based Text Mining". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_9.

Chapter 10

• (Liu et al., 2007) ⇒ Ying Liu, Han Tong Loh, Kamal Youcef-Toumi, and Shu Beng Tor (2007)."Handling of Imbalanced Data in Text Classification: Category-Based Term Weights". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_10.

Chapter 11

• (Brank et al., 2007) ⇒ Janez Brank, Marko Grobelnik, and Dunja Mladenic (2007)."Automatic Evaluation of Ontologies". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_11.

Chapter 12

• (Schmitt et al., 2007) ⇒ Lothar M. Schmitt, Kiel Christianson, and Renu Gupta (2007)."Linguistic Computing with UNIX Tools". In: Anne Kao, and Steve Poteet (eds.) “Text Mining and Natural Language Processing.” Springer. ISBN: 978-1-84628-175-4, 978-1-84628-754-1. DOI: 10.1007/978-1-84628-754-1_12.

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 NaturalLanguageProcessingandTex	Razvan C. Bunescu Raymond J. Mooney Anne Kao Steve R. Poteet			Natural Language Processing and Text Mining						2007