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
Social Media Semantics
Oneindia News recently shared a new case study of how Twitris was used to measure sentiment about the current elections in India. The article begins, “Based on 900,000 tweets collected from 15 states about three major political parties (BJP, Congress and AAP), our analysis shows how people talked about and reacted to each political party. Using Twitris, their Collective Social Intelligence platform, the researchers at the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University processed each tweet to compute sentiment about the mentioned political party. One parameter to measure popularity is to check which political party gets most positive sentiment or least negative sentiment. Just counting negative (or positive) sentiments on a politician provides, as in this Deccan Herald story, provides little useful information about the state of electorate.” Read more
Ron Callari of Inventor Spot recently wrote, “It’s hard to say, looking twenty to thirty years into the future, just how different the digital landscape will look. Semantic Technology, Augmented Reality, Virtual Reality and Web 3.0 are presently only toddling along in their infant stage. What they will look like in the next few decades is only guesswork on our part. However if we were pressed to gamble on the outcome, a smart man’s wager might be that the last two digital super powers left standing will be Google and Facebook [with the possible exception of China]. A CNN Money report describes this evolution as analogous to the ‘Cold War,’ to conjure up imagery of what transpired between America and the Soviet Union, post World War II.” Read more
Juan Carlos Perez of InfoWorld reports, “Microsoft will add new software, developer tools and capabilities to Office 365 in an attempt to make the cloud applications suite a ‘smarter’ product that is better at helping people interact at work. At its SharePoint Conference, which kicks off in Las Vegas on Monday, Microsoft will demonstrate a new machine learning application code-named Oslo designed to understand how employees work in Office 365 and with whom. Oslo will base its insights on a variety of signals gleaned from how people use Office 365′s components, like Exchange Online for email, OneDrive for Business for storage, Lync Online for IM and video conferencing, SharePoint Online for team collaboration and Yammer for enterprise social networking. Microsoft calls this information the Office Graph.” Read more
Rob LeFebvre of Cult of Mac reports, “55 percent of Hinge users are looking to find a relationship, according to internal user surveys by the app developer. 35 percent want to find good dates. Only 5 percent admit to just wanting a hookup. That’s a huge contrast from other apps like OK Cupid or Tinder, said Hinge developer Justin McLeod, who spoke to Cult of Mac over Skype. His goal, he said, was to create a much better dating app, one that was just as easy to join as Tinder, but with more quality results. It seems to be working, as the app is growing by 10 percent every week.” Read more
How can the semantic web help you participate in and celebrate Halloween this year? We trolled around and came up with a few ideas:
* Still haven’t found just the right costume yet for tonight’s festivities (for you, that is – we’re sure the kids have had theirs planned for some time). Perhaps you’re thinking hard about a do-it-yourself skeleton theme, but aren’t sure of the details for creating the most realistic effect? Well, if you head over to semantic search engine DuckDuckGo’s science goodies section, you’ll get a quick response on the number of bones in the human body, courtesy of Wolfram/Alpha computations. You can take it from there.
* OK, costume’s in check. Now how about what to do while wearing it?
Semantic search engine SenseBot might be a help here, pointing you to information it’s extracted from web pages and summarizing them in a, well, sensible way, as well as offering a cloud of the concepts it’s discovered for you to further narrow your agenda. The results can be a little off here and there, but it’s nice to have an option to further narrow a search, like one for adult activities to partake in on Halloween, to something more granular, like those designed for the “scare” factor.
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