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Linguamatics Announces Latest Release of its Market-leading Text Mining Platform

Published: Thursday, May 29, 2014
Last Updated: Thursday, May 29, 2014
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I2E 4.2 introduces integrated visualization for improved analysis and semantic enrichment capabilities for integration with enterprise search engines.

Linguamatics has announced the latest release of its award-winning natural language processing (NLP)-based text mining and analytics platform I2E. I2E 4.2 further enhances users' experience by introducing integrated charting and graphing to provide visual analytics for results extracted from large volumes of unstructured data. I2E 4.2 includes new capabilities to support the integration of semantically enriched data into enterprise search engines to enhance the search experience for a wider audience.

The integrated visualization capabilities in I2E 4.2 will allow users to gain a comprehensive view of large or complex data sets with the ability to filter down to the information of most interest, making it easier to access the most important information faster and share results throughout the organization thus enabling more rapid decision support and increased speed to insight.

The new semantic enrichment functionality enables I2E to automatically identify and mark up concepts and relationships within data already used by enterprise search engines and link these to I2E's powerful domain knowledge to provide dramatically improved search results.

David Milward, Linguamatics CTO, commented "We are now working to a shorter release cycle, allowing us to respond in a more agile way to customer requirements. We’re excited about the increasing demand for I2E in semantic enrichment for enterprise search platforms such as Microsoft SharePoint, and have delivered dedicated functionality to support that".

Other product enhancements include index optimization which provides reductions in index sizes of over 70% compared to I2E 4.0, leading to savings in storage costs. This is particularly significant as customers scale up their enterprise text mining operations to deal with the challenges of big data.


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