Text Mining for Biology and Biomedicine

Here's the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal - and how best to utilize them. You see how terminology management tools like term extraction and term structuring facilitate effective mining, and learn ways to readily identify biomedical named entities and abbreviations. The book offers step-by-step guidance to implement various information extraction methods for biological applications, from pattern matching and full parsing approaches to sublanguage- and ontology-driven extraction techniques. It discusses strategies to make the most of text collections and to use corpora and corpus annotation efficiently in text mining applications, and also gives you tested guidelines for evaluating and optimizing text mining systems. Rounding out the volume are techniques for integrating text mining and data mining efforts to further facilitate biological analyses. Both a critical review of the state of the art and a solution-focused guide packed with field-tested expertise and advice, this first-of-its-kind work will prove indispensable whether you're long experienced with text mining from biomedical literature or entirely new to the field.