Kevin Fitchard of Gigaom recently posted that, “Thanks to the popularity of its FireChat hyperlocal messaging app, Open Garden’s networking software has been downloaded into more than 5 million mobile devices around the world. Open Garden believes it now has enough users out there to execute the next the stage of its plan: it wants to use all of these smartphone nodes to create a new network for the internet of things. This concept probably requires some explaining as it doesn’t fit into any of the other IoT networking schemes we’ve written about in the past. Unlike say your smart home, which uses a hub to aggregate a bunch of Zigbee or Wi-Fi connections, or a connected vehicle fleet, which taps into the cellular network, Open Garden’s IoT network would be created through millions of shared connections owned by you, me or anyone else with one of its apps on their smartphones, tablets or PCs.”
Every picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.
When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”
Evan Selinger, a Fellow at the Institute for Ethics and Emerging Technology, has posted an article for Wired, in which he discusses the implications of how we have simplified the expression of emotion in the online systems we use, and how those simplified emotions are being tracked, analyzed and used.
Referring to Facebook’s addition earlier this year of a range of emotional expressions beyond “Like” and Bitly’s recent announcement of its “Feelings” tool, Selinger says, “I’m not singling out Facebook or even Bitly here; Google Plus on mobile also offers such expressions, as do a number of other websites and apps. The point is that all these interfaces are now focusing on the emotional aspects of our information diets. To put this development in a broader context: the mood graph has arrived, taking its place alongside the social graph (most commonly associated with Facebook), citation-link graph and knowledge graph (associated with Google), work graph (LinkedIn and others), and interest graph (Pinterest and others).”
TipTop Technologies has just debuted two self-serve semantic data analytics services for small and medium-size businesses, to join its custom-service solutions directed at helping larger enterprises in the finance, marketing and publishing verticals engage in activities such as semantically classifying and categorizing unstructured information on the web, and track and influence company, product and topic buzz.
The two new solutions are Web Page Analyzer and Tweet Analyzer. “The notion here is that we want to make TipTop available very broadly, for deeper data analysis, and for anyone to leverage,” says Shyam Kapur, president and CEO of TipTop.
LOS ANGELES–(BUSINESS WIRE)–Geni.com, the leader in collaborative family history, today announced the release of two major new features, Record Matching and Smart Matching™, which enrich family trees with relevant historical records and help users discover unknown relatives and ancestors, respectively. This will add significant new detail and color to the World Family Tree, a global initiative by Geni.com that shows how everyone in the world is related, and will help members learn more about their shared ancestries. Read more
What’s on the menu for semantic technology this week? Two vendors in the foodie field are offering up some new treats.
From Nara, whose neural networking technology is behind a service to help users better personalize and curate their restaurant dining experiences (see how in our story here), comes a new feature that should make picking a restaurant for a group dinner an easier affair. It combines users’ “digital DNA” – the sum of what it learns of what each one likes and doesn’t like regarding dining venues – to serve up restaurant choices that should appeal to the entire group across its range of preferences.
“It’s a really fun way to start getting [the service] into social,” says Nara founder and CEO Tom Copeman.
David Meyer of GigaOM reports, “EyeEm, Berlin’s most prominent entry in the photo-sharing-app sweepstakes, has rolled out a major refresh for iOS and Android. The Instagram rival now has redesigned navigation and live art filters that should keep what was already a good-looking interface competitive, but the biggest development is the addition of a ‘Discover’ feed. Based on suggested tags and other data sources, the feed recommends photos based on friends, locations and topics. EyeEm, which is nearing a million users, is essentially now in the game of learning those users’ tastes and establishing context. Useful in itself, the Discover feed provides a window into where the company’s heading: and it’s an intriguing future to consider.” Read more
Real-time social analytics platform Topsy, which earlier this month debuted Twindex to provide insight into Twitterati sentiment on the presidential candidates, today unveils Topsy Pro Analytics. It delivers in-depth metrics based on the Twitter firehose via API to the general public. Previously, the company had API access for some metrics in a machine-to-machine interface, but nothing near the full interactivity nor access to all the measurements that are propagated into the new user interface.
Topsy’s technology was created to ingest huge amounts of authored content, with Twitter as its primary data source — all 400 million tweets a day, with an index that goes back multiple years. Topsy also does a full public scrape of Google Plus and indexes that data. It offers its own sentiment classification and dictionary scheme tuned for tweets, takes every link published in tweets and unpacks them to their native states to produce measurements around them, provides a geoinference model to see where people are communicating from (to the country level today but soon to city and state level), and also can deliver an influence and author graph.
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.
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