Text Data Management and Analysis
covers the major concepts, techniques, and ideas in
information retrieval
and
text data mining
. It focuses on the practical viewpoint and
includes
many hands-on exercises designed with a companion software toolkit
(i.e., Me TA) to help readers
learn how to apply techniques of information retrieval and text mining to real-world text data. It
also shows readers how to
experiment
with and
improve
some of the algorithms for interesting
application tasks. The book can be used as a
text
for computer science undergraduates and graduates,
library and information scientists, or as a
reference
for practitioners working on relevant problems in
managing and analyzing text data
.
Text Data Management and Analysis
covers the major concepts, techniques, and ideas in
information retrieval
and
text data mining
. It focuses on the practical viewpoint and
includes
many hands-on exercises designed with a companion software toolkit
(i.e., Me TA) to help readers
learn how to apply techniques of information retrieval and text mining to real-world text data. It
also shows readers how to
experiment
with and
improve
some of the algorithms for interesting
application tasks. The book can be used as a
text
for computer science undergraduates and graduates,
library and information scientists, or as a
reference
for practitioners working on relevant problems in
managing and analyzing text data
.
Cover
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