Barry Levine of CMS Wire reports, “To help businesses find useful insights in growing amounts of big data, Massachusetts-based OneSource is reinventing search – and changing its name to Avention to reflect its new direction. Jonathan Flatow, Avention’s CEO, told us the new name implies ‘avenue of invention’ — something he believes suits the new search application. Designed for sales, marketing and business researchers, it uses natural language and semantic understanding to conceptually sift through mounds of data sources. Phil McWade, Avention’s Manager of Product Development, told CMSWire, ‘We’re giving our customers what they really want.’ Marketing and sales professionals don’t want ‘a list of news articles’ about companies: They want to identify companies they can sell to.” Read more
Posts Tagged ‘NLP’
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].”
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.
Stamford, CT (PRWEB) February 27, 2014 — Creative Virtual is very pleased to announce that its V-Person™ technology is powering the largest installation of a natural language self-help system in the financial services industry today.
The V-Person system provides personalized answers to logged-in customers based on the services and products that they use. The system provides answers to the bank’s customers live, while reporting Voice-of-the-Customer feedback to the bank in real-time. This functionality is made possible by V-Portal™, Creative Virtual’s proprietary knowledge management system that enables answers to be personalized for each user based on their profile. Read more
27th February 2014 - Attensity, a provider of integrated, real-time solutions that blend multichannel voice of the customer (VoC) analytics and social engagement for enterprise listening needs, has released Analyze 6.3, which includes business-oriented added features and enhancements.
Attensity Analyze 6.3 gives users access to text analytics engines with real-time access to more than 150 million blogs and forums, Facebook, and Twitter. Read more
Stephen Wolfram Demos Knowledge-Based Programming Language As It Approaches Official Release (Video)
Stephen Wolfram is talking more publicly about the Wolfram Language, this week releasing a video demo of the knowledge-based programming language. As he describes in the video below, the symbolic language builds in a vast amount of knowledge of how to do computations and about the world itself. “Through symbolic structure of the language,” he says, primitives for everything from processing images to looking up stock prices “are all set up to work together in a wonderfully coherent way.”
The concept of coherence – the idea that everything in the language must fit together – is in fact one of the principles that have guided the development of the language over the past decades, he explains, as is maximum automation – the idea that the language should take care of as much as possible. If you are working in machine learning, for example, and want to build a data classifier, “in the Wolfram Language there’s just one Super Function, Classify, that’s packed with meta-algorithms to automatically figure out what to do,” he says. There are thousands of Super Functions in the language, he says, which “effectively give you the highest possible level of building blocks for programs.”
These building blocks contain not only algorithms but knowledge and data, too, including knowledge about how to import and export formats and interact with external APIs and huge amounts of curated computable data – the same data that powers Wolfram Alpha, completely programmatically accessible, he says. Ask it when the sun will set today, and you’ll get the answer for your current location, for instance.
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.
Twitter is looking for a Software Engineer – NLP Arabic in San Francisco, CA. According to the post, “Twitter is looking for engineers who are passionate about delivering a great user experience to our Arabic speaking users. Based in Twitter’s San Francisco HQ, you will work closely with our product management team, interaction designers and localization specialists on bringing new infrastructure or product features to our Arabic speaking markets. Potential projects includes overhauling our Arabic language tokenization, Right-to-Left language support for Android, iOS and Web clients, and precision improvements on Arabic Trending topics. You will also work on other Right-to-left languages including Urdu, Farsi, and Hebrew.” Read more
David Shamah of the Times of Israel recently wrote, “The world may be a global village, but each neighborhood in that village still has its own language or dialect. Working to bridge those neighborhoods is Lexifone. With its computer learning system and smart algorithms, the company’s goal is to enable people to speak in their own tongue, with the party on the other end hearing them in their language. Lexifone works in English (the US, British, or Australian versions) Spanish (European and Mexican), Portuguese (European and Brazilian), French (European and Canadian), Mandarin (Chinese and Taiwanese), Russian, Polish, Italian, German, and Hebrew. Using the platform, anyone can call speakers of those languages, and make themselves understood in any of them.” Read more
Microsoft – as you’ve no doubt heard by now – has a new CEO. Satya Nadella most recently was Microsoft’s executive VP, cloud and enterprise group. But before that, the man who succeeds Steve Ballmer, he was senior vp, R&D, of online services and before that, the senior vp of search, portal and advertising group. Nadella has been at the company since 1992.
The man who succeeds Steve Ballmer has been referred to as the King of Bing, rebranding the search service from Live Search to Bing and getting kudos for making technical fixes. Announcing his promotion to president of Microsoft’s Server and Tools Business in 2011, Ballmer wrote in a memo that Nadella “led the overall R&D efforts for some of the largest online services and drove the technical vision and strategy for several important milestones, including the critical launch of Bing, new releases of MSN, Yahoo! integration across Bing and adCenter, and much more.”
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