Tag Archive for tweets

Twitter Introduces Data Grants

Last week, Raffi Krikorian of Twitter announced that Twitter is “introducing a pilot project we’re calling Twitter Data Grants, through which we’ll give a handful of research institutions access to our public and historical data.”

Library of Congress’s Big Data Challenge

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by Angela Guess Brandon Butler of Network World reports, “The Library of Congress has received a 133TB file containing 170 billion tweets — every single post that’s been shared on the social networking site — and now it has to figure out how to index it for researchers. In a report outlining the library’s work thus far…

Every Tweet Available to Search, Analyze & Compare

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by Angela Guess Jolie O’Dell of VentureBeat reports that Gnip has launched Historical PowerTrack for Twitter, a product “which will give developers the ability to search, find, analyze, and compare all the tweets ever written, even ones written before the developer in question started scraping Twitter. It’s the same level of access the Library of Congress…

Fun with Big Data at MTV’s Video Music Awards

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by Angela Guess Michael Humphrey of Forbes has written an article discussing the Video Music Awards’ entertaining use of Big Data. He explains, “As the MTV Video Music Awards airs… Sept. 6 at 8 p.m. ET, fans will be there in part to watch what wasn’t in the plans. From Beyonce’s baby bump, to Kanye’s…

London Eye Lights Up With Olympics Sentiment

As the opening ceremony for the London Olympics gets underway tonight, sentiment on the event can be gauged nightly in a big way: The EDF Energy London Eye Ferris Wheel, the largest in Europe, will turn colors depending on the sentiment analysis of tweets coming out of the U.K. mentioning the Olympics.   Sosolimited, an…

FirstRain Spotlights Semantics Across Domains

Enterprises using semantic technology often come up against a problem: Not being able to scale their approaches across domains. “We hear a lot about semantic approaches that work great when targeted to a domain – for example, you can train up an NLP engine for the hotel industry domain that knows ‘thin’ is a bad…