ZyLAB Whitepaper "Text Analysis: The Next Step in Search Technology" to Appear in June Edition of KMWorld Magazine

* Reuters is not responsible for the content in this press release.

Mon May 18, 2009 8:58am EDT

Whitepaper Outlines Challenges and Opportunities for Implementing Text Analysis
Solutions to Find Information not Known Beforehand
MCLEAN, Va.--(Business Wire)--
Whitepaper Overview:

* ZyLAB, an innovative developer of Information Access Solutions, today
announced that it has released a new educational white paper (appearing in the
June issue of KMWorld Magazine) that provides guidance to organizations in need
of better understanding the challenges and opportunities associated with using
text analysis solutions. To obtain a copy of this whitepaper, visit:
www.zylab.com. 
* Text analysis differs from traditional search in that, whereas search requires
a user to know what he or she is looking for, text analysis attempts to discover
information in a pattern that is not known beforehand (through the use of
advanced techniques such as pattern recognition, natural language processing,
machine learning and so on). By focusing on patterns and characteristics, text
analysis can produce better search results and deeper data analysis, thereby
providing quick retrieval of information that otherwise would remain hidden. 
* Even with some of the limitations and challenges profiled in this whitepaper,
on balance the next few years will see the extensive application of text
analysis in two areas: e-discovery and compliance. Associated with these are the
cognate areas of bankruptcy settlements, duediligence processes, and the
handling of data rooms during a takeover or a merger.

Whitepaper Key Sections:

* Challenges Facing Text Analysis
Perhaps the biggest challenge with text analysis is that increasing recall can
compromise precision, meaning that users end up having to browse large
collections of documents to verify their relevance. Standard approaches to
countering decreasing precision rely on language-based technology, but when text
collections are not in one language, are not domain specific, and/or contain
documents of variable sizes and types; these approaches often fail or are too
sophisticated for users to comprehend what processes are actually taking place,
thereby diminishing their control.

* Control of Unstructured Information
Text analysis uses various mathematical, statistical, linguistic and
pattern-recognition techniques to allow automatic analysis of unstructured
information as well as the extraction of high quality and relevant data.

* Information Visualization
Text analysis is often mentioned in the same sentence as information
visualization, in large part because visualization is one of the viable
technical tools for information analysis after unstructured information has been
structured.

* Text analysis on non-English Documents
A few text analysis and text-analytics solutions exist that provide real
coverage for languages other than English. Due to large investments by the US
government, languages such as Arabic, Farsi, Urdu, Somali, Chinese and Russian
are often well covered, but German, Spanish, French, Dutch and Scandinavian
languages are almost always not fully supported. These limitations need to be
taken into account when applying text analysis technology in international
cases.

* A prosperous future for text analysis
As major legislative changes and stricter control systems will undoubtedly take
place companies will have to carry out regular (real time) internal preventative
investigations, deeper audits, and risk analyses. Text analysis technology will
become an essential tool to help process and analyse the enormous amount of
information in a timely fashion.

Additional Resources:

* Whitepaper: Text Analytics for Enterprise Search - The Essential Components
for High Performance Systems
* Whitepaper: Text Mining - Using Visualization, Extraction Tools and
Autocategorization to Extract Knowledge
* Whitepaper: The Evolution of Enterprise Search - Specialist Applications Move
to the Top of the "Food Chain"
* ZyIMAGE e-discovery and production overview
* Brochure: E-discovery and Production
* Case Study: ZyLAB helps FBI process evidence in the Enron investigation
* Whitepaper: Investigate Or Investigated? - The Credit Crisis is Turbo-Charging
Enterprise Search
* Whitepaper: The Difference Between Legal Search and Web Search - What You
Should Know About Search Tools for E-Discovery
* Press release: ZyLAB receives highest ranking in research firm`s e-discovery
software vendor Marketscope 2008
* Press release: ZyLAB Awarded Contract to Provide Integrated e-Discovery and
Document Management Solution to United Nations Crimes Investigation Team

About ZyLAB

For 25 years, ZyLAB has provided commercial and government organizations around
the world with award-winning information access solutions. The ZyIMAGE
Information Access Platform is a complete XML-based system that provides a
secure foundation for the long-term archiving, management and retrieval of
information, from digitized paper documents, to electronic files, to e-mail and
attachments, to multimedia. 

With over 9,000 installations and 650,000 users worldwide, ZyLAB has a wealth of
experience and knowledge across a variety of industries and business
applications. Federal clients include the Executive Office of the President and
the Departments of Agriculture, Commerce, Homeland Security, Justice and
Defense, as well as all branches of the US Armed Forces and investigative teams
at the FBI, SEC, and Amtrak`s OIG. Hundreds of state and local governments also
rely on ZyLAB, such as The State of California, Montgomery County, Maryland, and
The Town of Jackson, Wyoming. ZyLAB`s numerous commercial clients include
leading companies like American Express, Anheuser-Busch, Dominion Virginia
Power, Lockheed Martin, Pacific Life, and Shell Oil. For more information visit:
www.zylab.com. 







ZyLAB
Press Contact:
Welz & Weisel Communications
Evan Weisel
P: 703-218-3555
C: 703-628-5754
evan@w2comm.com

Copyright Business Wire 2009

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