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Working with Text: Tools, Techniques and Approaches for Text Mining: Chandos Information Professional Series

Autor Emma Tonkin, Gregory J.L Tourte
en Limba Engleză Paperback – 11 iul 2016
What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining.


  • Introduces text analysis and text mining tools
  • Provides a comprehensive overview of costs and benefits
  • Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology
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Specificații

ISBN-13: 9781843347491
ISBN-10: 1843347490
Pagini: 344
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.46 kg
Editura: ELSEVIER SCIENCE
Seria Chandos Information Professional Series


Cuprins

Chapter 1: Working with Text
Chapter 2: A Day at Work (with Text): A Brief Introduction
Chapter 3: If You Find Yourself in a Hole, Stop Digging: Legal and Ethical Issues of Text/Data Mining in Research
Chapter 4: Responsible Content Mining
Chapter 5: Text Mining for Semantic Search in Europe PubMed Central Labs
Chapter 6: Extracting Information from Social Media with GATE
Chapter 7: Newton: Building an Authority-Driven Company Tagging and Resolution System
Chapter 8: Automatic Language Identification
Chapter 9: User-Driven Text Mining of Historical Text
Chapter 10: Automatic Text Indexing with SKOS Vocabularies in HIVE
Chapter 11: The PIMMS Project and Natural Language Processing for Climate Science: Extending the ChemicalTagger Natural Language Processing Tool with Climate Science Controlled Vocabularies
Chapter 12: Building Better Mousetraps: A Linguist in NLP
Chapter 13: Raúl Garreta, Co-founder of Tryolabs.com, Tells Emma Tonkin About the Journey from Software Engineering Graduate to Startup Entrepreneur