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 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

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 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

One of the issues organizations confront when they take to semantically processing data is how to handle all the results of that work. The output of extracting entities, tagging concepts, classifying page topics and parsing sentiment makes its way to a data store that can get pretty big, making for intense storage and analytics demands.

Orchestr8’s NLP- and machine learning-based AlchemyAPI service, which just last week added sentiment analysis to its retinue, gives content providers, social media monitoring companies, and contextual advertising sectors the tools for all of the above that leads to those big data stores, and now it has in beta a solution for dealing with the demands that creates, too. Its Alchemy SAS (Semantic Analysis System) – a name that is subject to change, by the way – processes content, takes what is generated thanks to the functionality within the AlchemyAPI, and stores and organizes the content analysis and meta-data results into a cloud data store for customers to query and discover patterns in.

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