Posts Tagged ‘semantic analysis’

Predixion Software and Carolinas HealthCare System Partner to Improve Care Delivery

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ORLANDO, FL–(Marketwired – Feb 24, 2014) – Predixion Software, a leading developer of collaborative predictive analytics software, announced today the joint development of Predixion Length of Stay (LOS) Insight. This software solution will allow hospitals to develop individualized care plans based on each patient’s risk factors and use this information to optimize the delivery of needed healthcare services. Carolinas HealthCare System, one of the largest non-profit healthcare systems in the nation, is co-developing this novel platform, leveraging the healthcare system’s expertise in acute care delivery and substantial investments in data and analytics. Read more

Big Data’s Role in Natural Language Processing

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Jeff Bertolucci of Information Week reports, “Computers do many things faster and more efficiently than the human brain, but they’re decidedly inferior when it comes to extracting meaning from human language. As BigData-Startups.com founder Mark van Rijmenam writes in a recent blog post, the key stumbling block here is that computers understand ‘unambiguous and highly structured’ programming language, while human language is a minefield of nuance, emotion, and implied intent. Van Rijmenam also quotes a Chronicle of Higher Education post by Geoffrey Pullum, a professor of general linguistics at the University of Edinburgh. Pullum outlines three prerequisites for computers to master human language: ‘First, enough syntax to uniquely identify the sentence; second, enough semantics to extract its literal meaning; and third, enough pragmatics to infer the intent behind the utterance, and thus discerning what should be done or assumed given that it was uttered.’ ” Read more

Boopsie Partners with Parity Computing to Provide Library Apps for Corporations in Need of Efficient Mobile Access

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Sunnyvale, CA (PRWEB) February 12, 2014–Boopsie, Inc., the leading mobile solution for libraries, announces its partnership with Parity Computing Inc., the leader in intelligent automation solutions for the Science, Technology, and Medicine (STM) industry, to provide mobile apps and efficient analytics services to libraries. The partnership is focused on providing rich search and recommendation services to academic and corporate libraries.

 

Parity provides powerful data mining, analytics, and decision-support systems for STM publishers and research institutes. Semantic analysis is a core part of Parity’s approach to deriving insights from large, heterogeneous, and often unstructured data sets. Parity’s Semantic Profiling Engine™ – applied to corpora of scientific, engineering and medical literature, business documents, and clinical records – enables applications ranging from automated publication profiles of scientists to journal, article, and grant recommendations. Read more

Frost & Sullivan Applauds LinguaSys for Offering Semantics Based Technology with Multiple Language Packages

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MOUNTAIN VIEW, Calif., Feb. 12, 2014 /PRNewswire/ – Based on its recent analysis of the Internet software and services market, Frost & Sullivan recognizes LinguaSys, Inc. with the 2013 North American Frost & Sullivan Early Stage Investment Opportunity Award. As businesses become increasingly globalized, companies have to consistently communicate in a variety of languages. LinguaSys caters to this market need with its software solutions that enable it to add more language packages in 120 days, which is a third of the average delivery time. The solidity of its business plan and product has attracted the attention of several investors. Read more

Watson is Heading to Africa to Address Pressing Problems

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BBC News reports, “The vast brainpower of IBM’s supercomputer Watson is to be utilised in Africa to attempt to solve some of the continent’s most pressing problems. Better agriculture, education and health are just three of the improvements the system could bring, said the firm. Watson uses artificial intelligence to analyse huge amounts of data and can also understand human language. Experts said such a system could help the African economy ‘leapfrog’ others. The project dubbed, Lucy, after the earliest known human ancestor fossil which was found in east Africa, will cost $100m (£61m) and take 10 years to complete.” Read more

NDN Nabs 500M+ Video Views Per Month, 5th Most in US

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Greg Jarboe of Search Engine Watch reports, “The top four U.S. online video content properties in comScore’s December 2013 U.S. online video rankings are well-known brand names: Google sites, driven primarily by video viewing at YouTube; Facebook; AOL; and Yahoo sites. But digital marketers can be forgiven if they aren’t as familiar with the fifth largest property, NDN. NDN ranks ahead of Amazon sites, VEVO, Microsoft sites, Vimeo, and Turner Digital in the latest online video rankings. So, it’s worth knowing more about an online video platform that says it ‘is disrupting the digital media industry in all the right ways.’ Search Engine Watch (SEW) interviewed Stephen Bach (SB), the head of Business Development at NDN.” Read more

Stanford Researchers Develop Tool for Semantically Interpreting Medical Images

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Lia Steakley of the Scope Blog recently wrote, “A web-based tool created by researchers at Stanford enables physicians and researchers to better interpret the wealth of data contained in medical images by capturing information in a way that is explicit and computationally accessible. The tool, called electronic Physician Annotation Device (ePAD), was developed by the Rubin Lab at the School of Medicine and is available to download for free. Daniel Rubin, MD, an assistant professor of radiology, and his team initially designed ePAD in response to an unmet need in cancer imaging, but he says the tool can be used more generally quantitatively evaluate images and characterize disease.” Read more

AOL Buys Gravity for $90M

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Kara Swisher of Recode.net reports, “In a bid to add another publishing and advertising tool to its offerings, AOL has acquired personalization startup Gravity for about $90 million in cash. As part of the deal, which is expected to close in the first quarter, the New York-based company said it will also ‘acquire approximately $12 million of net operating losses, which is expected to result in a future cash tax benefit to AOL of approximately $5 million.’ ‘It’s been search, then social and now personal,’ said AOL CEO Tim Armstrong in an interview last night about the transaction, echoing a motto that Gravity CEO Amit Kapur has been using since he co-founded the company in 2009. ‘We think we can get a clearer signal with content with personalization to improve our results and better monetize what we offer.’ ” Read more

Hinge Brings Semantic Tech to Finding a Relationship

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Rob LeFebvre of Cult of Mac reports, “55 percent of Hinge users are looking to find a relationship, according to internal user surveys by the app developer. 35 percent want to find good dates. Only 5 percent admit to just wanting a hookup. That’s a huge contrast from other apps like OK Cupid or Tinder, said Hinge developer Justin McLeod, who spoke to Cult of Mac over Skype. His goal, he said, was to create a much better dating app, one that was just as easy to join as Tinder, but with more quality results. It seems to be working, as the app is growing by 10 percent every week.” Read more

Get Rid of Bad Analytics with Semantic Analysis

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Nicole Laskowski of Search CIO reports, “Traditional data analytics has three rungs: descriptive, predictive and prescriptive analytics. But Scott Mongeau doesn’t believe the ladder goes far enough — especially as businesses reach to make better decisions based on big data analytics and data science. A business analytics consultant for Deloitte Nederland, Mongeau believes both the rigorous testing of models (what he calls diagnostics) and a better way to describe the meaning and context of projects to computers (what he calls semantic analysis) need to be built into the three rungs if data analytics is going to help solve big problems. He argued that without the rigorous testing of analytical models and semantic analysis and a social network in which to share the theories behind analytical models — big data analytics will be susceptible to bias and, in the end, fail to help people make better decisions.” Read more

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