By Graham Wilcock
Linguistic annotation and textual content analytics are lively components of analysis and improvement, with educational meetings and occasions corresponding to the Linguistic Annotation Workshops and the once a year textual content Analytics Summits. This e-book presents a uncomplicated advent to either fields, and goals to teach that sturdy linguistic annotations are the basic starting place for strong textual content analytics. After in brief reviewing the fundamentals of XML, with useful workouts illustrating in-line and stand-off annotations, a bankruptcy is dedicated to explaining different degrees of linguistic annotations. The reader is inspired to create instance annotations utilizing the WordFreak linguistic annotation instrument. the following bankruptcy exhibits how annotations will be created instantly utilizing statistical NLP instruments, and compares units of instruments, the OpenNLP and Stanford NLP instruments. the second one half the publication describes diversified annotation codecs and offers functional examples of ways to replace annotations among diversified codecs utilizing XSLT differences. the 2 major textual content analytics architectures, GATE and UIMA, are then defined and in comparison, with functional workouts exhibiting the way to configure and customise them. the ultimate bankruptcy is an creation to textual content analytics, describing the most purposes and capabilities together with named entity popularity, coreference answer and knowledge extraction, with useful examples utilizing either open resource and advertisement instruments. Copies of the instance documents, scripts, and stylesheets utilized in the publication can be found from the better half site, situated at http://sites.morganclaypool.com/wilcock. desk of Contents: operating with XML / Linguistic Annotation / utilizing Statistical NLP instruments / Annotation Interchange / Annotation Architectures / textual content Analytics
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