BI Search and Text Analytics: New Additions to the BI Technology Stack
This report by Philip Russom details how the expansion of the technology stack for business intelligence (BI) and data warehousing (DW) accommodates two relatively new additions, namely BI search and
text analytics. Although each stands ably on its own, the two are related in that they tend to operate on unstructured data. Unstructured data is playing a larger role in BI and DW over time, and
that role is today supported largely by tools and techniques for BI search and text analytics.
Issues and Techniques in Text Analytics Implementation
In this article, Victoria Loewengart, the principal research scientist at Battelle Memorial Institute, describes how to streamline the information extraction process.
Q&A: IBM's Aaron Brown onn Text Analytics for Legal Compliance
This article by Seth Grimes focuses on the burden of legal e-discovery mandates and how they are driving demand for "knowledge discovery" technologies. The program director of
IBM's Content Discovery and Search unit discusses the use of text analytics in legal work and other emerging applications.
Tapping Into the Power of Text Mining
This paper by Weiguo Fan, Linda Wallace, Stephanie Rich and Zhongju Zhang provides an overview of the text mining tools and technologies that are being developed and is intended to be a guide
for organizations who are looking for the most appropriate text mining techniques for their situation.
What is Text Mining?
Marti Hearst wrote this essay for people who are curious about the topic of text mining after having read the New York Times article by Lisa Guernsey (10/16/2003) or heard his Future Tense interview
with Jon Gordon (10/20/2003).
