16 Text and data
mining: Together at last!
Anthony J. Trippe, Science IP/Chemical Abstracts Service, 2540 Olentangy River Rd., Columbus, OH 43210, firstname.lastname@example.org
techniques and tools have long been available to information professionals
for statistical analysis of fielded (structured) data. Lately, there has
been an increased focus on the analysis of textual (unstructured) data.
Traditionally, these forms of analysis have been conducted separately. In
general, it was not possible for the value and strengths of these approaches
to be combined. New software now allows the application of rigorous data
mining tools, e.g., data grouping and clean-up, to the creation of bar
charts and 2-D matrix charts from fielded data. It also allows the use of
text mining elements, including data harmonization, for the creation of
concept clusters and maps from unstructured data. Output from both is linked
and dynamically interactive. A brief discussion of the software's
capabilities will be followed by a case study on how the marriage of text
and data mining supports strategic business research by providing rapid,