AlchemyAPI Teams Up w/ Built In Denver To Create Startup Happy Hour, Built In Brews
We've teamed up with Built In Denver to create a startup crawl-inspired happy hour. 2nd Thursday of the month, join us at a different Denver startup for networking, spirits and startup community building!
Ever wonder what Denver startups are like? This is your chance to take a monthly tour. Mode Set and Guiceworks are hosting the first Built In Brews, so bring your co-workers and friends and enjoy some brews on their deck.
WordPress Tagging Just Got Easier w/ AlchemyTagger
For the millions of WordPress sites out there, wouldn't it be nice if there was a plugin that automatically tagged your blog posts by analyzing your writing and suggesting useful categorization tags? Well, there is, and it's called AlchemyTagger and it automatically works in the background while you're writing your blog post. It suggests tags that make your posts easier to navigate, better-ranked by search engines and easier to find for your blog readers.
We recently discovered Kruganmantimes.com, a webpage that takes the recent version of the New York Times and replaces everything with Paul Krugman media. This project by software developer Vincent Woo uses AlchemyAPI’s Keyword Extraction feature to make the magic happen. Here is a short Q&A with Vincent Woo:
"I sent a friend of mine a NYT article (this one) and told him I thought it was great article. He replied, cheekily, 'Great? But it's not by Paul Krugman!' From there it was a quick jump to 'What if Krugman wrote every article on the NYT?' and buying krugmantimes.com."
How long have you been a Krugman fan and has he seen this site?
Krugman definitely saw my site, and he even blogged about it! It was very satisfying, and responsible for pretty much all the traffic I got.
How does The Krugman Times work?
The Krugman Times is exactly one Node.js dyno running for free on Heroku, and stood up admirably to hundreds of concurrent users. It makes use of a free Redis addon for heavy caching of both the nytimes.com homepage and AlchemyAPI’s endpoints. Essentially, I pull down the nytimes.com page and do some DOM analysis to pull out stories. I send each story separately to AlchemyAPI for Keyword Extraction, and replace those with appropriately styled and cased economics gibberish. I also take the time to swap out images for pictures of that handsome devil, Paul Krugman.
What are you working on now?
My day job is at everlane.com, where we are an online-only fashion retailer that uses the cost savings associated with not maintaining physical retail presences to put high quality clothing into the hands of consumers very affordably. I am also working on a Twitter bot for spamming people, but I don't think Twitter's gonna like that one as much.
$2m In New Financing, Hiring Several C++ Engineers
We recently announced that we closed Series A financing (total of $2m in new equity and debt financing). What this means is that we will be ramping up our hiring in earnest, starting with several amazing C++ Software Engineers.
Precog Uses Sentiment Analysis API for Oscar Winner Predictions
As the 85th Academy Awards draw closer, everyone (including AlchemyAPI staff) is placing their predictions. Precog is making it easier by analyzing Twitter mentions that mention #Oscars. They've used their Precog analysis platform to run the predictions and the ReportGrid API to create interactive visualizations.
Precog also used our Sentiment Analysis API to answer the question: When are people the most positive and negative in their #Oscars conversations. You could use this ReportGrid Line Graph to figure out the best time to get your #Oscars predictions for the losers (negative sentiment) or the winners (positive sentiment).
This past Saturday was the 2012 New Times/TimesOpen Hack Day where Beau Lebens, a programmer for Automattic, received an honorable mention for Readtrack, an experimental tool that gives music recommendations based on the content you’re looking at. According to Lebens, "It’s a bookmarklet-powered little app that analyzes the page you’re looking at (using the AlchemyAPI) and then tries to find related music (using the EchoNest API) which it then plays back to your in your browser (using rdio)."
AlchemyAPI's Concept Tagging analyzes the page content and then provides a list of keywords which relates to the concepts represented there. The top 2 concepts are passed to EchoNest's Song search API to find songs that match. Then those tracks are loaded and played via a jQuery-powered web-player using rdio's Web Playback API.
Interview with Michael Lissack, the Executive Director of the Institute for the Study of Coherence and Emergence and ISCE Professor of Meaning in Organizations.
What is your background?
Once upon a time I was an investment banker and financed state and local governments. Upon my retirement (very premature at age 36) I became an academic and an entrepreneur.We founded ISCE in 1999 to study social complexity theory and its applications.
What is the idea behind the ISCE library project?
To create the library of the future. As specialized librarians become harder to find, this project aims to mimic a well-read expert in a particular topic. ISCE focuses on the Philosophy of Science and related topics, and can suggest pertinent materials that the reader should investigate as well as users with similar interests to communicate with.
What problem is the ISCE library project solving?
As we become more reliant on the Internet we have found fewer and fewer opportunities to employ the well-read reference librarian. There simply are too few people one can turn to with a snippet of an ill-formed idea and say "help me find more like this to read." The ISCE Library and its sister projects (http://epi-search.com a generic research tool and http://systemspedia.org an encyclopedia of systems science and cybernetics ) are trying to become the Internet equivalents of that great reference librarian -- but one who is available 24/7 and supplies links in the flash of an eye. A student, for example, can take an assignment, feed it to epi-search.com, discover great things to read, do their reading, write an outline, submit that to epi-search.com, find more things to read, read, write a first draft, submit that to epi-search.com and find things to read which will help make their project truly their own.
How does AlchemyAPI help in your project?
We use the AlchemyAPI Concept Tagging functionality to analyze the text of each book in our collection. The Concept Tagging call provides the high-level topic information we need to formulate the connections between books. Since two authors can use similar language but be describing completely different subjects, the Concept Tagging call is a more sophisticated way of understanding the topics in the text. By combining the concepts call with identified keywords we can better zoom in on material which answers the question "find more like this."
What are your future plans for the project?
We want to try other AlchemyAPI features, like Relations Extraction, Named Entity Extraction and some of the interesting features we've seen on the AlchemyAPI release schedule. We also want to release additional topic collections. Right now, we are trying to gain traction with the ICSE library, and prove our model can be applied in a very general way. We hope people will try the general research tool at http://epi-search.com and see how it can help in their writing.
"We are excited to be a sponsor at this year's Defrag," said AlchemyAPI CEO, Elliot Turner. "As one of the key events for discussion of big data and related technologies, Defrag represents a great opportunity to engage with thought leaders in our industry."
Defrag is Wednesday November 14-15 at the Omni Interlocken Resort in Broomfield, CO. Come visit AlchemyAPI at Table T13.
Anyone who has used Twitter in an effort to gauge the overall sentiment towards a particular candidate knows that the sheer number of tweets makes it impossible to do by hand. Luckily Precog and AlchemyAPI solved that problem for you. We partnered up to launch a Real-Time Twitter Sentiment Analysis. Precog gathered tweets in real-time, then used our Sentiment Analysis API to score the tweets for Romney and Obama on a +1 (positive) to -1 (negative) scale, with the resulting analysis showing a state-by-state breakdown of Twitter sentiment.
Ever wonder how people in different states tweet about a candidate? Is it surprising that liberal Texans are more vocal on Twitter yet with Californians it’s the reverse? Ever wonder how the presidential conversations on Twitter changes from day to day? Answer your questions and generate new ones by rolling over each state here and viewing real-time sentiment scores.
In order to make this possible, first Precog searched for tweets using Twitter’s API and then analyzed these tweets using AlchemyAPI’s Sentiment Analysis API. This data is easily stored using Precog’s API and then Precog’s interactive development environment, Labcoat, is used to analyze the data. The resulting query was exported into a data visualization app that uses the ReportGrid visualization library. You can visitwww.precog.com/elections2012 to learn more and grab the code to embed the Geo Chart on your website.
We are proud to be an exhibitor at Colorado Technology Association’s 8th annual DEMOgala. This is one of Colorado’s largest technology events of the year highlighting entrepreneurial companies from across the state. DEMOgala takes place on October 25th from 7:30 a.m. to 6:00 p.m. at Downtown Denver Sheraton. Come visit us at booth C2.
AlchemyAPI CEO and Founder, Elliot Turner, will also be speaking at DEMOgala under the member genius schedule:
Talk Title: “Artificial intelligence is no longer a lab technology” Time / Location: 1:15 p.m. in the Blue Room.