Posts Tagged ‘sentiment analytics’

Load-Control: Semantria Takes On The Social Media Surge Infrastructure Challenge

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Image courtesy: Flickr/Webtreats

Semantria is tackling some of the challenges that come with being a cloud-based social media services provider startup. The company offers a text and sentiment analysis service (which you can read about here) to clients and partners. That includes companies like Sprinklr, which manages the social customer experience for other brands with the help of Semantria’s API for analyzing social signals about those clients.

The good news is that with growing social data volumes, there’s a growing need for semantically-oriented services like Semantria’s that help businesses make sense of that information for themselves or their clients. The downside is that a huge surge in volume of social mentions around a company, its product, or anything else can hit such services hard in the pocketbook when it comes to acquiring the cloud infrastructure to handle the tidal wave.

“Everybody suffers from this kind of thing,” says Semantria founder and CEO Oleg Rogynskyy. “We experience it daily.”

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SNAP To It: Dell Proposes Way Of Seeing Returns On Social Media Investments

shreeAre you seeing a return on your investment in social media? When the question about whether such returns exist was put to the audience at the recent Sentiment Analytics Symposium by Shree Dandekar, Dell Software’s chief strategist and senior director of BI and analytics, only a few hands went up. But Dandekar explained that it’s more possible to realize returns than many people may believe.

Dell’s Social Net Advocacy Pulse, or SNAP, tool and program is designed to help drive those returns. “Social ROI is not a myth but a reality,” Dandekar said. “It starts with a social media strategy and text analytics is a crucial underpinning of that journey,” which takes a company from social media listening and monitoring, to capturing and aggregating data from that, to engaging on and deriving insights from social media, to bringing that information into context with enterprise data for better lead- and opportunities-tracking. Dell is an in-house user of SNAP, bringing in 25,000 to 30,000 conversations a day for dell, he noted, and it runs a Social Media Command Center for facilitating listening to those conversations.  (It also helps customers implement their own Command Centers.)

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Bring On The Marketing Experts In Social Analytics

priusLast week The Semantic Web Blog reported on hoped-for improvements in the sentiment and text analytics space, a topic of discussion at this month’s Sentiment Analytics Symposium, including making the tools and data more accessible to business users – at least to those working outside of the market research sector. Within that space, experts continue to bring value.

Speakers at the event provided examples of how expertise at social analytics matters in the marketing realm, including David Rabjohns, CEO of MotiveQuest, which offers an online anthropology approach to helping brands identify the social “tribes” who may be targets for their products or services, given an understanding of what it is those tribes are most passionate about and a way that the brand can connect with those passions.

Take the case of the company’s work with Toyota on its Prius hybrid car: Rabjohns said that MotiveQuest’s online social research for the company revealed that Toyota would be mistaken to think it was selling a car and talking to users about saving money on gas.

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Take Sentiment Analytics And Make It Better, Better, Better, Better, Better, Oh

hjThere’s room for improvement in sentiment and text analytics technology: Greater reliability, more accessibility, and increased businesss actionability should be on the agenda.

“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.”

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Cruxly Analytics Technology Drives Actions From Intents

Image courtesy: Flickr/ M4D GROUP

Image courtesy: Flickr/ M4D GROUP

What are your customers – or potential clients – saying or asking online, often in short texts and streaming posts, or in emails about your products, services, or their own particular interests or desires? If you can understand their actionable intents in realtime, then you have a good shot at responding swiftly and appropriately to those expressed intents, requests, or queries. That could add up to new sales, new customers, and better marketing and product management.

Startup Cruxly, which is presenting at this week’s Sentiment Analysis Symposium in NYC, believes it’s taking the oft-touted concept of social media monitoring in a new direction with its platform that applies natural language processing techniques for intent detection in realtime. “The idea is to be actionable,” says CEO Aloke Guha. “If it’s not actionable, at most [monitoring] is a nice-to-have [capability].”

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Plumbing The Depths Of Deep Learning

Image Courtesy: Flickr/ Hey Paul Studios

Image Courtesy: Flickr/ Hey Paul Studios

Will deep learning take us where we want to go? It’s one of the questions that Oxford University professor of Computational Linguistics Stephen Pulman will be delving into at this week’s Sentiment Analysis Symposium. There, he’ll be participating in a workshop session today on compositional sentiment analysis and giving a presentation tomorrow on bleeding-edge natural language processing.

“There is a lot of hype about deep learning, but it’s not a magic solution,” says Pulman. “I worry whenever there is hype about some technologies like this that it raises expectations to the point where people are bound to be disappointed.”

That’s not to imply, however, that important progress isn’t taking place when it comes to deep learning, which leverages machine learning methods based on learning representations with applications to everything from NLP to computer vision to speech recognition.

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Power To Your Own Data: Haggle Helps You Make Deals

haggleFormer 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.

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Social Media Analytics: What’s Your ROI?

Photo courtesy: Flickr/LendingMemo

Photo courtesy: Flickr/LendingMemo

How are your company’s social media marketing efforts faring? Chances are that you don’t really know.

According to a new benchmark study from Demand Metric, “Social Media Analytics: Enabling and Optimizing Use Cases with Analytics,” almost two-thirds or organizations are using social media analytics tools to understand and enhance their social media marketing. But 70 percent of them are unable to show the return on investment of their social media efforts, typically undertaken with campaign tracking, brand analysis and gaining competitive intelligence in mind.

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Hello 2014 (Part 2)

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Courtesy: Flickr/faul

Picking up from where we left off yesterday, we continue exploring where 2014 may take us in the world of semantics, Linked and Smart Data, content analytics, and so much more.

Marco Neumann, CEO and co-founder, KONA and director, Lotico: On the technology side I am personally looking forward to make use of the new RDF1.1 implementations and the new SPARQL end-point deployment solutions in 2014 The Semantic Web idea is here to stay, though you might call it by a different name (again) in 2014.

Bill Roberts, CEO, Swirrl:   Looking forward to 2014, I see a growing use of Linked Data in open data ‘production’ systems, as opposed to proofs of concept, pilots and test systems.  I expect good progress on taking Linked Data out of the hands of specialists to be used by a broader group of data users.

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Hello 2014

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Courtesy: Flickr/Wonderlane

Yesterday we said a fond farewell to 2013. Today, we look ahead to the New Year, with the help, once again, of our panel of experts:

Phil Archer, Data Activity Lead, W3C:

For me the new Working Groups (WG) are the focus. I think the CSV on the Web WG is going to be an important step in making more data interoperable with Sem Web.

I’d also like to draw attention to the upcoming Linking Geospatial Data workshop in London in March. There have been lots of attempts to use Geospatial data with Linked Data, notably GeoSPARQL of course. But it’s not always easy. We need to make it easier to publish and use data that includes geocoding in some fashion along with the power and functionality of Geospatial Information systems. The workshop brings together W3C, OGC, the UK government [Linked Data Working Group], Ordnance Survey and the geospatial department at Google. It’s going to be big!

[And about] JSON-LD: It’s JSON so Web developers love it, and it’s RDF. I am hopeful that more and more JSON will actually be JSON-LD. Then everyone should be happy.

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