University of Pennsylvania researchers have found that the words people use on Twitter can help predict the rate of heart disease deaths in the counties where they live. Places where people tweet happier… Read more »
Crowdsourcing startup CrowdFlower has raised another $12.5 million as it tries to make life better for the data science community. As people try to get better, faster data to power their… Read more »
Deep learning is all the rage among the tech scene right now, and that’s more a result of its utility than because it sounds cool. Some questioned the feasibility of the… Read more »
Facebook’s data scientists have crunched the numbers (well, the text) and — if fan sentiment is any indicator — it looks like Denver is the Super Bowl favorite. Over the course… Read more »
A group of Stanford machine learning students has created a new service for analyzing and classifying passages of text. But the highlight is an easy-to-use feature for classifying whether tweets are… Read more »
Execs are talking about measuring tweet volume and the reach of those tweets, but isn’t the real value in figuring out what people think? It’s not worth touting that 200,000 people… Read more »
New research out of Carnegie Mellon University shows that analyzing fans’ tweets can help gamblers make better bets on NFL games. Sometimes. Their technique wasn’t very effective at picking winners or… Read more »
A new beta version of ScraperWiki makes it easy to relatively easy to scrape Twitter for certain phrases and get to work analyzing the data. It’s just one more way that… Read more »
Although Twitter is pushing itself as a platform to gauge public opinion around popular events — including the upcoming presidential election — not everyone is buying the hype. Stats about sentiment… Read more »
A group of researchers has developed a machine learning model that can detect tweets relating to bullying, and even identify bullies, victims and witnesses. Next, it wants to add sentiment analysis… Read more »