Parsing the Twitterverse: New Algorithms Analyze Tweets: Scientific American

By Francie Diep, Scientific American, July 22, 2011

Researchers have been trolling Twitter for insights into the human condition since shortly after the site launched in 2006. In aggregate, the service provides a vast database of what people are doing, thinking and feeling. But the research tools at scientists’ disposal are highly imperfect. Keyword searches, for example, return many hits but offer a poor sense of overall trends.When computer scientist James H. Martin of the University of Colorado at Boulder searched for tweets about the 2010 earthquake in Haiti, he found 14 million. “You can’t hire grad students to read them all,” he says. Researchers need a more automated approach. …

For full text of the article, visit Parsing the Twitterverse: New Algorithms Analyze Tweets: Scientific American.

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