Posts Tagged ‘Text Mining’

Semantic Technology Provider Ontotext Announces Strategic Hires for Ontotext USA

OntotextNovember 17, 2014 — Ontotext, a leading provider of core semantic technology and text mining solutions, has announced the expansion of sales, marketing and alliances efforts in North America. This effort began with the hiring of Tony Agresta as Senior VP of Worldwide Sales & Marketing earlier this year. Over the summer, Brad Bogle was hired as Director of Marketing for Ontotext worldwide and more recently, Tom Endyke joined Ontotext USA as the Director of Solutions Architecture.

“We are very pleased to have Tony, Tom and Brad representing Ontotext in the USA,” said Atanas Kiryakov, Executive Director and CEO of Ontotext. Read more

Predixion Software Removes Barriers to Deployment of Predictive Analytics With Release of Predixion Insight 4.0

PredixionSoftware-logo-300x125NEW YORK, NY–(Marketwired – Oct 15, 2014) – Strata + Hadoop World, Booth #103 -Predixion Software, a developer of cloud-based predictive analytics software, today released Predixion Insight 4.0, the latest version of its powerful predictive analytics platform. The new release expedites the deployment of predictive analytics directly to the point of front-line decisions, and expands predictive capabilities across a wider variety of production environments, such as applications, databases, data stores, real-time engines, devices and machines. By removing barriers to deploying predictive analytics, Predixion Insight 4.0 enables companies to achieve the full potential of their data investments. Read more

Scope Unveils New Enhanced Version of SemantiCz

scopeChennai, India – Scope e-Knowledge Center (Scope), a leading provider of knowledge services and a Quatrro Global Services company, is pleased to announce the release of an enhanced version of its content enrichment solution SemantiCz™. Advanced text mining and ontology based semantic tagging are some of the key features of the enhanced version that help to generate relationships with precise, subject-specific contextual accuracy.

[Read our previous coverage of SemantiCz.]

While retaining all the capabilities of the previous version, SemantiCz 2.0 has been enhanced to:

• Manage multiple versions of domain specific ontologies and vocabularies in various languages. Read more

MonkeyLearn Unveils its Powerful and Affordable Artificial Intelligence Technology Platform for Developers

MonkeyLearn logoA recent release from MonkeyLearn states, “Developers, startups, and small and medium-sized enterprises (SMEs) now have access to a powerful, customizable, and affordable artificial intelligence (AI) technology platform for text mining, MonkeyLearn. As one of the first companies to meet the demands of a new, sophisticated era of AI, MonkeyLearn will be unveiled in beta today at TechCrunch Disrupt San Francisco. MonkeyLearn’s patent-pending algorithm creation engine allows developers in any industry to quickly and easily create and incorporate text mining capabilities into their own platforms, applications and websites, regardless of their experience with AI technologies. Artificial intelligence technologies for text mining have become a priority for Internet and technology companies, as they allow them to understand users’ interests and provide similar or relevant recommendations.”

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Big Data Holds Great Power, But Only if You Know How to Mine It

27498728_b84f8817aaChloe Green of Information Age recently wrote, “Handling immense data sets requires a combination of scientific and technological skills to determine how data is stored, searched and accessed. In science, the importance of data scientists in ensuring that data is handled correctly from the outset is not underestimated; other industries can learn from the scientific approach. Text-mining tools and the use of relevant taxonomies are essential. If we think about big data as a huge number of data points in some multi-dimensional space, the problem is one of analysis, i.e. frequently finding very similar or very dissimilar points which cannot be compared. In life sciences, taxonomies assign data points a class, thus comparison of two points is as easy as looking up other data points in the same class.” Read more

Startup TextRazor Features Enhanced Language Support In Open Semantic Analysis And Text Mining API

Comprehensive support for semantic analysis across 20 languages (up from ten) is one of the latest additions to TextRazor’s customizable, open semantic analysis and text mining API, to satisfy what the startup says is increasing demand for sophisticated semantic tools that go beyond English.

The company’s technology has been in public beta for just a few months. It differs from other multilingual natural language processing solutions, says founder Toby Crayston, in that it strongly leverages linked data sources like DBpedia and the semantic web to disambiguate, normalize and filter extracted metadata with better accuracy, so that end users can build powerful multilingual classifiers regardless of the language of their documents.

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Getting Europe Into The App Economy

In the United States, the app economy, as of late 2012, had created close to 530,000 jobs and served as a significant economic driver for a number of states. A study released by CTIA-The Wireless Association and the Application Developers Alliance, dubbed The Geography of the App Economy, reported more than 2.4 million apps available on more than 11 different operating systems and the stat that by 2016, mobile app revenue would be more than $46 billion.

Europe wants in. No wonder, when you see stats like the one from ABI Research this year that point to the combined app revenue from tablets and smartphones being projected to reach $92 billion by 2018, and to the app economy growing at 44.6 percent on average annually. But the continent needs some data to help it get its spot in the limelight, which is where Eurapp comes in.

The newly launched venture, Eurapp, was birthed by the European Commission, and is being run by the Digital Enterprise Research Institute at NUI Galway in conjunction with tech industry analyst firm GigaOM Research. It’s part of the Startup Europe initiative of the European Commission’s Digital Agenda, which aims to help tech entrepreneurs start, maintain and grow their businesses in Europe.  NUI Galway’s Dr John Breslin, SIOC creator and co-founder of iPad news and social reader app StreamGlider (see our story here) is leading the Eurapp project at DERI.

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Appinions Gets Patent for Opinion Analysis

Appinions, an opinion based marketing platform reports that the company has been awarded a patent “for their groundbreaking methodology for analyzing, extracting and summarizing opinions from digital text, such as articles, blog posts and social media messages. The US Patent Office awarded the patent to Appinions for the system and method for automatically summarizing fine-grained opinions in digital text. The patent covers the methodology Appinions uses to analyze text from more than 5 million online sources to extract opinions, identify the person or source of a particular opinion and determine the topic and sentiment of that opinion. The patent is effective for 20 years and precludes other companies from implementing the methodology and business processes developed by Appinions.” Read more

SemanticWeb.com “Innovation Spotlight” Interview with Elliot Turner, CEO of AlchemyAPI.

If you would like your company to be considered for an interview please email editor[ at ]semanticweb[ dot ]com.

In this segment of our “Innovation Spotlight” we spoke with Elliot Turner (@eturner303), the founder and CEO of AlchemyAPI.com. AlchemyAPI’s cloud-based platform processes around 2.5 billion requests per month. Elliot describes how their API helps companies with sentiment analysis, entity extraction, linked data, text mining, and keyword extraction.

Sean: Hi Elliot, thanks for joining us, how did AlchemyAPI get started?

Elliot: AlchemyAPI was founded in 2005 and in the past seven years has become one of the most widely used semantic analysis APIs, processing billions of transactions monthly for customers across dozens of countries.

I am the Founder and CEO and a serial entrepreneur who comes from the information security space.  My previous company built and sold high-speed network security appliances. After it was acquired, I started AlchemyAPI to focus on the problem of understanding natural human language and written communications.

Sean: Can you describe how your API works? What does it allow your customers to accomplish?

Elliot: Customers submit content via a cloud-based API, and AlchemyAPI analyzes that information in real-time, transforming opaque blobs of text into structured data that can be used to drive a number of business functions. The service is capable of processing thousands of customer transactions every second, enabling our customers to perform large-scale text analysis and content analytics without significant capital investment.

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AlchemyAPI’s New Text Mining Service Extracts Popular Authors

AlchemyAPI has created the first text mining service to extract the authors of articles online. According to the article, “In an attempt to navigate what the New York Times calls the ‘Age of Big Data,’ companies often turn to social media engagement platforms to analyze thousands of blog posts and articles. Until now, these platforms have only been able to automatically provide results by media source, not by author. However, AlchemyAPI recently developed the first text mining service able to isolate the author of a blog or news post — at a rate of one thousand posts per second.” Read more

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