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. With more than 500 million Tweets a day, Twitter has an expansive set of data from which we can glean insights and learn about a variety of topics, from health-related information such as when and where the flu may hit to global events like ringing in the new year. To date, it has been challenging for researchers outside the company who are tackling big questions to collaborate with us to access our public, historical data. Our Data Grants program aims to change that by connecting research institutions and academics with the data they need.” Read more
Posts Tagged ‘tweets’
Jolie O’Dell of VentureBeat reports that on Wednesday, “Gnip launched its Historical PowerTrack for Twitter, 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 got when it started archiving and storing all Twitter data, but this time, it’s commercially available. ‘There are a handful of companies that have collected some portion of Twitter data,’ said Gnip COO Chris Moody in a meeting with VentureBeat yesterday. ‘We were able to do it because we partnered with Twitter on it’.” Read more
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 art and technology studio helmed by three MIT grads, has written software to capture these tweets and then uses sentiment analysis algorithms to assess their emotional content. SentiStength, a program that itself hails from the U.K., is reportedly the source of the algorithms. During the day, that will be charted on a large LED next to the London Eye, and each night the data will guide the sequence of a visual lightshow around the Eye. “That data is played back out across full color architectural lighting fixtures around the Eye and with large ground based search beams,” according to a blog posting from founder Justin Manor. It’s been reported that yellow will be the dominant color to express positive sentiment, while purple will showcase negative sentiment.
Expectations: Early on, at least, probably a lot of yellow, even if traffic is a nightmare, from a lot of outraged Brits who want to have their say over Mitt Romney’s comment about how well-prepared the city is for the Games.
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 word when applied to it,” explained YY Lee, chief operating officer at customer intelligence vendor FirstRain at the recent SemTech conference in San Francisco. “But the amount of the business world to be potentially covered by semantic techniques – that limitation to train for specific domains cannot scale.”
Our own Jennifer Zaino recently reported that semantic social web application Twitris, a program at Wright State University, was tackling coverage of the Occupy Wall Street movement as well as the presidential election. Now Twitris will be busier than ever: “Wright State University has been assigned a patent for core analysis methods used by the Twitris system.” Read more
Twitter has sold its old tweets to DataSift, a company that plans to analyze the tweets for marketing purposes. DataSift is the first company to get access to these tweets which go back two years. According to one article, DataSift has “launched a product called DataSift Historics, which lets companies extract insights and trends that relate to brands, businesses, financial markets, news and public opinion, a rep says. DataSift will analyze public tweets, not private ones. If you delete a tweet, it’s deleted from DataSift’s archives.” Read more
Johns Hopkins is using semantic analysis to sift through tweets for information about health trends. According to one article, the effort “gives some clues as to how health marketers, especially, can take advantage of consumer sharing habits to inform key decisions – particularly around media spend, shelf placement, and other choices whose optimal resolution can vary significantly between – and even within – local markets. Researchers at that JHU’s School of Public Health analyzed 2 billion public tweets, from May 2009 to October 2010, to determine whether semantic analysis could unearth meaningful information about public health trends.” Read more
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