Digital Reasoning and Paragon Science Promote Natural Language Processing and Graph Analysis
February 12, 2014
The presentation on slideshare titled Got Chaos? Extracting Business Intelligence from Email with Natural Language Processing and Dynamic Graph Analysis discusses the work by Digital Reasoning and Paragon Science. Digital Reasoning asserts that it is an Oracle for human language data. There are color-coded sentences that illustrate the abilities of Natural Language Processing, from recognizing people and location words to entities related to a single concept and associated entities. The presentation consists of many equations, but the overview explains,
“In this presentation, O’Reilly author and Digital Reasoning CTO Matthew Russell along with Dr. Steve Kramer, founder and chief scientist at Paragon Science, discuss how Digital Reasoning processed the Enron corpus with its advanced Natural Language Processing (NLP) technology – effectively transforming it into building blocks that are viable for data science. Then, Paragon Science used dynamic graph analysis inspired from particle physics to tease out insights from the data..”
Ultimately the point of the entire process was to gain a better understanding of how the Enron catastrophe could be avoided in other enterprises. It is difficult to say whether Digital Reasoning is imitating IBM Watson or if IBM Watson is imitating Digital Reasoning. At any rate it sound familiar, didn’t Autonomy, TeraText, and other firms push into this sector decades ago?
Chelsea Kerwin, February 12, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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