With the increasing importance of the Web and other text-heavy
application areas, the demands for and interest in both text mining
and natural language processing (NLP) have been rising. Researchers
in text mining have hoped that NLPa "the attempt to extract a
fuller meaning representation from free texta "can provide useful
improvements to text mining applications of all kinds.
Bringing together a variety of perspectives from internationally
renowned researchers, Natural Language Processing and Text Mining
not only discusses applications of certain NLP techniques to
certain Text Mining tasks, but also the converse, i.e., use of Text
Mining to facilitate NLP. It explores a variety of real-world
applications of NLP and text-mining algorithms in comprehensive
detail, placing emphasis on the description of end-to-end solutions
to real problems, and detailing the associated difficulties that
must be resolved before the algorithm can be applied and its full
benefits realized. In addition, it explores a number of
cutting-edge techniques and approaches, as well as novel ways of
integrating various technologies. Nevertheless, even readers with
only a basic knowledge of data mining or text mining will benefit
from the many illustrative examples and solutions.
Topics and features:
a [ Describes novel and high-impact text mining and/or natural
language applications
a [ Points out typical traps in trying to apply NLP to text
mining
a [ Illustrates preparation and preprocessing of text data a"
offering practical issues and examples
a [ Surveys related supporting techniques, problem types, and
potential technique enhancements
a [ Examines the interaction of textmining and NLP
This state-of-the-art, practical volume will be an essential
resource for professionals and researchers who wish to learn how to
apply text mining and language processing techniques to real world
problems. In addition, it can be used as a supplementary text for
advanced students studying text mining and NLP.
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