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.