Posts Tagged ‘lists’

Track Sentiment Analysis On Your Mobile Device with the New vs. App

July 3, 2013 [prMac.com] San Francisco, California – Ever wondered which celebrity is more popular on Twitter? Which band has a more active fan base, or which team has more support going into tonight’s big game? Meet vs. – the first-ever entertainment app that uses natural language processing to analyze tweets in real time for sentiment, relevance and trends. Developed by OpenAmplify(TM), a technological leader in text analysis and Natural Language Processing (NLP) solutions, vs. marks the company’s first venture into the mobile app market.  Read more

Ranker Raises $2M for Semantic Ranking Platform

Anthony Ha of TechCrunch reports, “Ranker, a startup that asks users to “vote on the best and worst of everything,” is announcing that it has raised $2 million in new funding. If you visit the Ranker site, you’ll basically be overwhelmed with crowdsourced lists, like this list of the funniest movies of all-time (I agree with the top choice, but The Hangover at No. 2??? Madness!) and this one highlighting the best sulfate-free shampoos (I’m not even sure what that means). Users can vote on each item in the list, follow a list, add items, and create lists of their own. Other sites, like the Canadian Broadcasting Corporation, can use Ranker’s technology for their own polls.” Read more

Creating Semantic Lists at Ranker

A recent interview with Ranker CEO and Founder Clark Benson takes a look at what how the semantic start-up is making the most of crowdsourcing. Benson stated, “My whole life, I’ve been making lists of things… I also like the power of semantic data on the web, and the idea of linked data, so that you can really extract a lot of meaningful data and value from facts or opinions in a linked way. You can slice and dice information and pivot on almost anything, if that data is well-linked. The concept for Ranker came from merging the two together. The idea was to allow people to list and rank items, and use that to generate meaningful value as a recommendation engine. There are lots of things you can do with data if you can clearly organize it. The idea, is to take what has been unstructured data, and add structure to it.” Read more