Working with Text
Tools, Techniques and Approaches for Text Mining

This interesting book explores the use of text mining tools and technologies in support of academic research, discussing the ways they have been applied to such fields as biology, chemistry, sociology, and criminology

Emma Tonkin (Author), Gregory J.L Tourte (Author)

9781843347491, Elsevier Science

Paperback / softback, published 12 July 2016

344 pages
22.9 x 15.1 x 2.2 cm, 0.39 kg

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.

Chapter 1: Working with Text

Subject Areas: Library, archive & information management [GLC], Library & information sciences [GL]