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Solutions

NetOwl Home > Solutions
SRA's text-mining solutions provide key strategic value to all organizations
that must cope with large amounts of unstructured data. Whether
a Government analyst working to defend the homeland or a financial
analyst trying to discover critical information concerning a firm,
SRA's text mining solutions provide a customer with maximum leverage
over their unstructured data sources. SRA's NetOwl product line
has been architected to provide fast and easy tailoring to meet
the special requirements of customers. SRA understands how to make
text mining maximally effective for your business so that it makes
a demonstrable contribution to your bottom line.
Homeland Security
NetOwl creates a seamless, easy-to-use analytical environment where analysts
have at their fingertips data from a multitude of sources
making it possible to exploit both structured and unstructured data, and making it easily
shareable among analysts and across agencies.
Enterprise Message Management
NetOwls technology enables organizations to automatically
mine, flag, and quarantine e-mail according to industry
regulations.
Enterprise Meta-Tagging
NetOwl helps publishers and content aggregators enhance their editorial
production operations by automatically tagging documents by ticker
symbol, by name, or by other category.
Litigation Support
Increase the productivity of document coders with automatic identification
and extraction of key entities within the documents - people, places,
companies, dollar amounts, dates, etc.
Life Sciences
NetOwl helps researchers cut through unstructured text data, speeding
the drug approval process and mining the scientific literature, so
that companies and research organizations maintain their competitiveness.
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Markets:
Homeland Security
Intelligence
Law Enforcement
Healthcare
Publishing
Content Aggregation
Litigation
Bioinformatics
Fields:
Enterprise Content Management
Records Management
Enterprise Meta-Tagging
Capabilities:
Extraction
Summarization
Categorization
Clustering
Visualization
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