Twitter has acquired Gnip, a social data provider that we have covered in the past. According to Chris Moody of Gnip, “Combining forces with Twitter allows us to go much faster and much deeper. We’ll be able to support a broader set of use cases across a diverse set of users including brands, universities, agencies, and developers big and small. Joining Twitter also provides us access to resources and infrastructure to scale to the next level and offer new products and solutions. This acquisition signals clear recognition that investments in social data are healthier than ever. Our customers can continue to build and innovate on one of the world’s largest and most trusted providers of social data and the foundation for innovation is now even stronger. We will continue to serve you with the best data products available and will be introducing new offerings with Twitter to better meet your needs and help you continue to deliver truly innovative solutions.” Read more
Posts Tagged ‘Social Media’
“There are still tools that are crashing in the middle of a brand crisis or there’s not adequate support or there’s no integration with other tools that need the data,” Chris Boudreaux, global lead, social media and text analytics at Accenture, told an audience gathered at last week’s Sentiment Analysis Symposium. “The industry has to grow up and be more accountable in delivering tools and services.”
Former Personalized Media CEO Rajiv Salimath hosts a launch party March 1 for his latest venture, Haggle. What Haggle’s about, he says, is letting people use their own data to show venues – starting with restaurants – how they’re a valuable customer, and turn that to their purchasing advantage.
Users can apply today for their shot at getting personalized pricing via the Haggle mobile app through realtime digital interactions with businesses that have also signed onto the platform. By launch that should include some 75 restaurants in New York, with the goal of hitting 100 to 150 there and another 150 in the San Francisco area in the spring.
How it works, Salimath says, is that users give the app access to their social data, which it crunches and gives back to them. “We take all your social and digital data and convert it to real-world metrics that matter,” he says. “We give you the data to negotiate with businesses.” It calculates four scores including social influence, loyalty to a particular spot, history of going to places of that type generally (seafood restaurants, for instance), and purchasing power, and based on those scores a screen swipe for the locale reveals the personalized discount that venue is willing to give the user – which he or she may attempt to further negotiate online. All the user needs to do is show the screen to the wait staff for the discount to be applied to the bill.
Samsung Galaxy S4 or Apple iPhone 5? Many users are contemplating which smartphone upgrade is the right one for them. PolyVista, a BI text analytics tool that specializes in finding insights and sentiment in text-based data like online reviews, social media, blogs and surveys, wants to help out. It just published the results it gleaned from its PolyVista Zoom review analysis technology, which looked at online review text and analyzed each topic for positive and negative sentiment.
While both garnered more positive than negative commentary on social media, it concludes that the Galaxy S4 got a slight — 8 percent — edge over the iPhone 5.
That’s something both Apple and Samsung would like to know, too. And providing insights like that “from either structured or unstructured data to a business-person with a minimal amount of work by them” is what the company is aiming for, says Shahbaz Anwar, PolyVista CEO. Its value proposition, he says, is bringing text analytics via the cloud to companies that can’t afford to make the investments in expertise, talent software and infrastructure to do it in-house, particularly in verticals such as high-tech and services.
The company’s history is in doing custom text analytics solutions for big customers, and the new service brings to a wider base its experience providing application-specific APIs to vertical requirements and industries.
It’s starting with offering as a hosted service packaged, high-level, multi-language semantic capabilities for social and traditional media analysis, as well as its Core API for providing horizontal services such as syntactic category keyword filtering, named entity recognition, and rule-based pattern application. A semantic publishing API is next on the vertical roadmap.
In an interesting turn of events, a project born out of the Occupy Wall Street movement to build social democracy 2.0 (see our story here) has turned into a commercial enterprise.
The effort keeps the title Project 99, but creator Brett McDowell is calling the open source intelligence firm the semantic technology powers OpenThinkLab. The idea remains largely the same, in that it seeks to draw upon the intelligence of the crowd and make it useable, this time in the service of anyone with questions to explore, from startups to think tanks to corporate titans like McDonald’s and MTV — and, yes, even stock traders.
Michael Learmonth of Ad Age reports, “Twitter is attempting to deepen its links to TV — as well as skim TV ad budgets — with a series of new media deals and technology to target ads at TV viewers. Twitter’s ad pitch has been consistent over the past year: advertising on Twitter in conjunction with TV makes TV ads more effective. ‘Our perspective is everybody in digital has it wrong; they have ben going to market with an either-or proposition,” said Twitter global head of revenue Adam Bain. Twitter is a bridge to these different screens and experiences.’ Today, at an Internet Week event, the company unveiled a series of media deals and a targeting tool designed to bring TV advertisers on to Twitter.” Read more
Among the topics covered at this week’s Sentiment Analysis’ Symposium was an exploration of just how much the negative or positive expression of sentiment about a company or a product really matters – and in what context it does. (Another one, which The Semantic Web Blog covered yesterday here, looked at the expected transition from sentiment to emotions analytics.)
Augie Ray, director of social media at Prudential Financial, and formerly a social media leader at USAA and Forrester, recounted some of the bigger blow-ups online in recent years: The passenger whose guitar was broken by United Airlines and made a Youtube video that went viral; NBC’s 2012 London Olympics coverage that was criticized for dissing a tribute to the victims of terrorist bombings, among other things; and Bank of America’s being castigated for its announced plan to institute debit card fees.
“We live and die by the concept that negative sentiment matters,” he said.
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