This book comprises a set of articles that specify the methodology
of text mining, describe the creation of lexical resources in the
framework of text mining and use text mining for various tasks in
natural language processing (NLP). The analysis of large amounts of
textual data is a prerequisite to build lexical resources such as
dictionaries and ontologies and also has direct applications in
automated text processing in fields such as history, healthcare and
mobile applications, just to name a few. This volume gives an
update in terms of the recent gains in text mining methods and
reflects the most recent achievements with respect to the automatic
build-up of large lexical resources. It addresses researchers that
already perform text mining, and those who want to enrich their
battery of methods. Selected articles can be used to support
graduate-level teaching. The book is suitable for all readers that
completed undergraduate studies of computational linguistics,
quantitative linguistics, computer science and computational
humanities. It assumes basic knowledge of computer science and
corpus processing as well as of statistics.
General
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