Posts Tagged ‘Social Media’

Lexalytics’ Semantria Accommodates Text Analytics Abroad

lexsemInternational expansion has been a focus for cloud-based text and sentiment analytics vendor Semantria since its acquisition by text mining vendor Lexalytics over the summer. This week, that’s being addressed by adding enterprise text analytics servers in Europe, to address compliance with EU privacy laws around the location of personal data, as well as making its services available in Arabic, Russian, Japanese and Malay.

Lexalytics’ Semantria SaaS and Excel text-mining platform has a few clients in Europe so far, including among them several large social media monitoring and voice-of-the-customer clients that it’s signed up in the last quarter, according to Seth Redmore, VP Product & Marketing Lexalytics.  eDigitalResearch in the UK is one of them. English, French, German, Spanish, Portuguese and Italian are already among its supported languages, and Dutch should be next on board.

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Corporate Social Media: Sentiment Tracking Is Up, But Other Metrics Are Out of the Mix

insightThe State of Corporate Social Media is … well, strong might be too strong a word for it. The recently released State of Corporate Social Media Briefing 2014, from USM (Useful Social Media) finds – among other things – that social media team sizes are being reduced, fewer budgets are increasing, and fewer key performance indicators are being measured.

It’s not all negative. In fact, report author and USM founder Nick Johnson concludes that all together, its results could be interpreted as indicating that “social media within companies is beginning to mature, and the drive to leverage social to its full extent is undiminished.”

That said, the data equally could be interpreted to mean that “social media within companies is stagnating, and there’s an increasing lack of resources available to those within business to move forward to full leverage social’s potential.”

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University of Sydney Working on NLP Social Media Tools for Suicide Prevention

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Leon Spencer of ZDnet reports, “Social media psychotherapy could be the next big thing in the field of mental health management if the development of a new internet-based tool called CyberMate by the University of Sydney gets off the ground. According to the university, the team behind the CyberMate project will adapt online tracking techniques used by marketing analysts, along with digital social media and internet data to support interventions for young people affected by depression and other mental health issues. The researchers working on the project aim to design algorithms that will give the online tool the ability to screen a young person’s social networking pages such as Facebook or Twitter for comments that may indicate potential self-harm. CyberMate would then act as a quasi-psychotherapist and engage with the young online user, suggesting options for help or support via email or SMS.” Read more

Gnip Acquired by Twitter

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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

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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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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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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PolyVista Technology Digs Deep Into Sentiment

rsz_polyvSamsung 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.

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Textalytics Takes Its Custom Solution To The Masses With Meaning As A Service Offering

Meaning as a service. That’s the idea behind Daedalus’ new offering, Textalytics.

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.

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