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OverviewWhat 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. Full Product DetailsAuthor: Emma Tonkin (Senior Research Associate, Faculty of Engineering, University of Bristol, UK) , Gregory J.L Tourte (Senior Research Associate, School of Geographical Sciences, University of Bristol, UK) , Stephanie TaylorPublisher: Woodhead Publishing Ltd Imprint: Chandos Publishing (Oxford) Ltd Weight: 0.390kg ISBN: 9781843347491ISBN 10: 1843347490 Pages: 344 Publication Date: 12 July 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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 EntrepreneurReviewsAuthor InformationEmma Tonkin is a Senior Research Associate in the Faculty of Engineering at the University of Bristol. She has held positions in several universities, having previously worked in Digital Library research at UKOLN, University of Bath, and in the Department of Digital Humanities, King’s College, London. She holds a PhD in Computer Science from the University of Bristol. Her primary research interests include text and data mining, human computer interaction and the development of hybrid systems that combine human and machine classification Gregory Tourte is Senior Research Associate at the University of Bristol in the School of Geographical Sciences where he started as a system administrator for the research group’s supercomputer and used this opportunity to research data management due to the large quantity of data being generated. He continues his work with deep time climate modelling within the Bristol Research Initiative for the Dynamic Global Environment (BRIDGE). Tab Content 6Author Website:Countries AvailableAll regions |