Jordan Novet of Venture Beat reports, “Idibon, a startup that has developed applications that make sense of text in scores of languages, has raised $5.5 million in new funding. Following its launch in January, Idibon has attracted business from Edmunds.com, Samsung, the United Nations, and some global consulting firms, among others. And the startup has worked with text from sources in more than 50 languages. Idibon is not satisfied, though. The new funding it’s announcing today should help it do much more business. ‘We’re seeing a lot of just unmet demand,’ Idibon chief executive and co-founder Rob Munro told VentureBeat in an interview.” Read more
Posts Tagged ‘natural language processing’
Dr. Mahesh Saptharishi of Forbes recently wrote, “Communication, in its many forms, has tremendous power… When you combine language with the Internet, you see how our lives have changed; we are freed from past limitations of distance, time and memory. Sensors give us an even greater opportunity to experience our world. The Internet-of-Things (IoT), as these connected sensors are collectively called, has enabled the digitization of language communicated by the physical world. Sensors allow the Internet to instantly extend the reach of our sight and sound. The data from sensors allow us to not only interactively, but also observationally communicate language.” Read more
Kia Kokalitcheva of VentureBeat reports, “A few years ago, when Apple added Siri to the iPhone, talking to inanimate objects with batteries to make them do stuff was pretty novel. Today, thanks to companies like Wit.ai, even kids at hackathons are showing off weekend projects that are voice-controlled. Wit.ai, a Y Combinator-backed startup that provides natural language processing (NLP) in the form of an API, is helping developers and startups integrate voice commands into their products. The company is announcing today that it has raised $3 million in seed funding just over a year since its founders posted the first API version on Hacker News.” Read more
NEW YORK – 07 Oct 2014: IBM is announcing significant milestones fueling adoption of Watson and cognitive computing cloud capabilities on a global scale. Watson is a groundbreaking platform that represents a new era of computing based on its ability to interact in natural language, process vast amounts of Big Data to uncover patterns and insights, and learn from each interaction.
On Tuesday, October 7, IBM Watson Group Senior Vice President Mike Rhodin demonstrates Watson at work in its Client Experience Center at its new global headquarters at 51 Astor Place in New York City’s Silicon Alley. Read more
Barb Darrow of GigaOM recently wrote, “IBM’s Watson natural language query/cognitive computing prodigy was a huge PR coup for Big Blue. Three years ago, Watson defeated Jeopardy champ Ken Jennings on national TV and beat other challengers like a drum on a subsequent victory tour. (Ask Gigaom’s own Stacey Higginbotham about that sometime.) IBM rode that wave for years to show that despite its woes, it can still do really hard stuff. IBM wants Watson to be a $10 billion business by 2023. But, unfortunately for IBM, there is ‘not a lot of commercial application to playing Jeopardy,’ Mike Rhodin, IBM SVP for Watson, acknowledged at Emtech 2014 at MIT on Tuesday.IBM invested untold millions in Watson, so it’s now time for Watson to, in the tortured words of another Emtech presenter, become ‘a market-based solution’.” Read more
Greg MacSweeney of Wall Street and Tech recently wrote, “It’s relatively easy to find information on public companies. Bloomberg, Thomson Reuters, and Dun & Bradstreet, for example, all have in-depth information that is accessible to anyone with a subscription. But where do investment bankers, venture capitalists, and other investors find reliable information about private companies? If you talk to investment bankers, or other investors who are looking for information on non-public companies, it quickly becomes apparent there is no easy answer. Investment bankers rely mostly on Google searches and a combination of information gathered from Hoovers, S&P Capital IQ, Dun & Bradstreet, and others. But it is a laborious manual process to do due diligence on private companies.” Read more
Customer experience management vendor Clarabridge wants to bring the first-person narrative from call center interactions to life for marketing analysts, customer care managers, call center leaders and other customer-focused enterprise execs. With its just released Clarabridge Speech, it now brings via the cloud a solution that integrates Voci Technologies’ speech recognition smarts with its own capabilities for using NLP to analyze and categorize text, sentiment and emotion in surveys, social media, chat sessions, emails and call center agents’ own notes.
Agent notes certainly are helpful when it comes to assessing whether customers are having negative experiences and whether their loyalty is at stake, among other concerns. But, points out Clarabridge CEO Sid Banerjee, “an agent almost never types word for word what the customer says,” nor will they necessarily characterize callers’ tones as angry, confused, and so on. With the ability now to take the recorded conversation and turn it into a transcript, the specific emotion and sentiment words are there along with the entire content of the call to be run through Clarabridge’s text and sentiment algorithms.
“You get a better sense of the true voice of the customer and the experience of that interaction – not just the agent perspective but the customer perspective,” Banerjee says.
Sugandh Dhawan of iamwire.com reports, “New Delhi based SaaS startup, Contify, has launched an enterprise grade competitive intelligence (CI) platform to cater to the large organisations dealing with the job of identifying, sourcing, curating, and disseminating critical business information, across several functions. Founded in 2009 as a content syndication business, Contify is a product company focused in the areas of machine learning, artificial intelligence, and natural language processing. It offers an intelligence platform to enable businesses to monitor their competitors, customers and industries along with critical market variables that impact ones business.” Read more
A recent press release indicates that, “The Natural Language Processing (NLP) market is estimated to grow from $ 3,787.3 million in 2013 to $9,858.4 million in 2018. This represents a Compounded Annual Growth Rate (CAGR) of 21.1% from 2013 to 2018. In the current scenario, web and e-commerce, healthcare, IT and Telecommunication vertical continues to grow and are the largest contributor for Natural Language Processing (NLP) software market. In terms of regional growth, North America is expected to be the biggest market in terms of revenue contribution. European and APAC region is expected to experience increased market traction, due to increasing adoption across various verticals and investment support in research projects from the regional government ”.
The release also states, “The major forces driving natural language processing market (NLP) are the growing demand for enhanced customer experience, increase in adoption of smartphone, leveraging big data and growth in machine to machine (M2M) technologies. Furthermore, in industries such as healthcare, BFSI, social websites and e-commerce channels have witnessed exponential rise in real time customer data and transaction information. NLP technology can leverage this unstructured data for analyzing customer needs, expectations and enhancing customer experience by optimizing cost effective lingual response system in organizational processes. By using NLP software solutions, organization can have better insights on customer’s perception, optimize business processes and reduce operational cost.”
Morfologica, Inc. is looking for a Natural Language Processing expert. The job description states: “Morfologica Inc. is a small business that provides consulting and engineering services in the fields of Natural Language Processing (NLP) and Computational Linguistics to academic, business and government organizations. We are a growing company with lots of opportunities and great benefits for qualified candidates with a passion for this field. We are looking to support a customer in the Fort Meade area by adding experienced NLP Experts, Computer Scientists, Computational Linguists, Theoretical or General Linguists, and Knowledge Engineers to our team. Qualified candidates with a strong background in Artificial Intelligence, Cognitive Science or Library Science are also encouraged to apply. Interested candidates will be working at a customer site supporting ongoing research efforts for NSA. The work being done will include development and testing of parsers, part-of-speech taggers, Wordnet applications, and processing of multi-lingual data. The ideal candidate will have a strong understanding of one or more natural language processing techniques, knowledge-base or rule-based developent, and programming experience in NLP-related technologies. The candidate will also have on-going experience providing consulting and support in fields related NLP. Individuals with continued experience with multiple NLP tools and techniques are preferred.”
NEXT PAGE >>