Working with Text: Tools, Techniques and Approaches for Text Mining: Chandos Information Professional Series
Autor Emma Tonkin, Gregory J.L Tourteen Limba Engleză Paperback – 12 iul 2016
- 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
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
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