Posts Tagged ‘AlchemyAPI’

AlchemyAPI’s New Face Detection And Recognition API Boosts Entity Information Courtesy Of Its Knowledge Graph

AlcaclhinfohemyAPI has released its AlchemyVision Face Detection/Recognition API, which, in response to an image file or URI, returns the position, age, gender, and, in the case of celebrities, the identities of the people in the photo and connections to their web sites, DBpedia links and more.

According to founder and CEO Elliot Turner, it’s taking a different direction than Google and Baidu with its visual recognition technology. Those two vendors, he says in an email response to questions from The Semantic Web Blog, “use their visual recognition technology internally for their own competitive advantage.  We are democratizing these technologies by providing them as an API and sharing them with the world’s software developers.”

The business case for those developers to leverage the Face Detection/Recognition API include that companies can use facial recognition for demographic profiling purposes, allowing them to understand age and gender characteristics of their audience based on profile images and sharing activity, Turner says.

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Forging Ahead in the New AI Economy

"Forge Ahead" photo of arrow on pavementWe are seeing the beginning of the new artificial intelligence economy. This has many parallels to the infrastructure-as-a-service wave led by Amazon Web Services (AWS), which provided the world with access to highly-scalable compute capacity. AI technologies are being exposed as core infrastructure via the cloud, enabling companies to build smarter applications and services.

If you think you aren’t already a part of the AI economy, think again. Most of us are already participating through our interaction with popular applications and services. For example, Google Maps uses AI technology to better understand Street View images to give more accurate directions; and both Siri and Google Now use a combination of speech recognition, language understanding, and predictive modeling to act as digital personal assistants.

So the big question is: why now? Historically, AI technologies have been limited by a lack of data, insufficient compute capability, and poor algorithms. We’re now witnessing the convergence of three major forces: ready access to massive data, highly scalable on-demand compute capability, and a number of core algorithmic breakthroughs that enable us to better train robust AI systems. This is a perfect storm that has resulted in significant advances in computers’ ability to understand text, images, video, and speech. Read more

Five NLP APIs to Watch

Alchemy APIPatricio Robles of Programmable Web recently discussed how natural language processing or NLP technologies are simplifying data and customer interactions for many large businesses. He writes, “Fortunately, what is a technically complicated field of computing is now accessible to even the smallest of businesses thanks to the existence of companies that provide NLP as a service. This article explores and compares five of the leading NLP service providers that offer API integration. These service providers were selected based on the following criteria: A live NLP-focused API offering that gives users access to at least several common low-level NLP functions; Availability of public documentation and pricing information; Self-serve registration/subscription.” Read more

AlchemyAPI Launches Deep Learning API-Based Service, AlchemyVision

Alchemy API

Derrick Harris of GigaOM reports, “Denver-based startup AlchemyAPI is keeping proactive in the world of artificial intelligence, launching on Monday night a new service that lets users perform computer vision tasks such as image-tagging and photo search via API. The product, called AlchemyVision, is the company’s first foray outside the natural-language processing space where it has focused since 2011. It also probably foreshadows a spate of computer vision services yet to come. AlchemyAPI first demonstrated its object recognition service in September but Turner said the company has done a lot of work in the meantime to get it ready for commercial use. Among the big differences is the sheer scale of the new system, which is running unsupervised across millions of online images and using context from the pages they’re housed on in order to determine what they are.” Read more

Elliot Turner of AlchemyAPI on Natural Language Processing

Alchemy API

Seth Grimes posted to Smart Data Collective a conversation he had with Elliot Turner of AlchemyAPI. He asked Turner, “How well are we doing with Natural Language Processing, noting that formally, ‘processing’ includes both understanding and generation, two parts of a conversation?” Turner responded, “Google has trained us to search using keywords, and this won’t change overnight. But the trend is easy to spot: the interactive question-answering capabilities made famous by IBM’s Watson will become commonplace, offered at a fraction of today’s costs and made available as easy-to-integrate web services.” Read more

AlchemyAPI Releases Enterprise Text Analysis Primer

DENVER, Aug. 6, 2013 /PRNewswire/ – One of the hottest buzzwords in technology today is “big data.” Companies that learn how to leverage the massive amount of data that exists in the ether have an automatic advantage over their competitors. However, most companies don’t realize that 80% of data is unstructured and rarely utilized by businesses. Natural language processing software makes unstructured text meaningful and valuable for enterprises with big data initiatives. Today, AlchemyAPI released the first in a series of white papers explaining the benefits of text analysis and the reasons companies should use text analysis as part of their business strategy. Read more

AlchemyAPI Updates Deep Learning API

Amy Castor of Programmable Web reports, “AlchemyAPI wants to make a type of artificial intelligence known as deep learning accessible not only to giant corporations, but to the public. Over the last year, the Denver company has been weaving the technology into its text mining API, recently announcing updates in the areas of relation extraction and named entity extraction. Launched in 2008, AlchemyAPI crunches through hundreds of billions of words of text on the Internet to delve meaning out of what people are saying, doing, thinking and writing about. The company offers its service, which developers use for media monitoring, ad targeting, surveillance and more, in the form of a RESTful API or a behind-the-firewall appliance.” Read more

Semantic Web Jobs: AlchemyAPI

AlchemyAPI is looking for a C++ Engineer – AI/NLProc/Big Data in Denver, CO. The post states, “We’re looking for experience C++ engineers to join our team. If you can write multi-threaded code in your sleep — call us. If you love STL and Boost, come talk to us. If you enjoy writing performance-optimized code that must run reliably for years without memory leaks or segmentation faults, we want to talk to you. You’ll get an opportunity to work on some really interesting projects that have a major impact.” Read more

AlchemyAPI Releases Sentiment Analysis in German

AlchemyAPI has announced “the release of German sentiment analysis, adding to the company’s already-supported languages for identifying positive / negative opinions within any document or web page. ‘Our German sentiment analysis engine provides advanced functionalities such as amplifier, diminisher, and negation support,’ said Elliot Turner, CEO of AlchemyAPI.  ‘We’re the first commercially-available German sentiment engine to support document-level processing as well as entity/keyword/user-targeted analysis’.” 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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