Janet Wagner of Programmable Web reports, “AYLIEN, a natural language processing (NLP) services and API provider, has announced the release of new SDKs designed to help developers quickly and easily integrate the AYLIEN Text Analysis API with their applications. This first set of new SDKs includes Node.js, Python, Ruby and PHP, and the company plans to release SDKs for other languages in early 2015.The company released the AYLIEN Text Analysis API in February as a set of eight machine learning, natural language processing and information-retrieval APIs.” Read more
The MIT Technology Review recently wrote, “Translating one language into another has always been a difficult task. But in recent years, Google has transformed this process by developing machine translation algorithms that change the nature of cross cultural communications through Google Translate. Now that company is using the same machine learning technique to translate pictures into words. The result is a system that automatically generates picture captions that accurately describe the content of images. That’s something that will be useful for search engines, for automated publishing and for helping the visually impaired navigate the web and, indeed, the wider world.” Read more
There’s help available for those looking for a very easy way to share the results of their text and sentiment analytics work. Polyvista, the company behind PolyVista’s text analytics and ChartExpo’s visualization library (covered here), now has another component to add to its pipeline – which already runs unstructured text feedback and survey answers through a text analytics crunching engine, provides a results dashboard, and delivers a charts framework for graphing findings.
Available now is the capability to offer dashboard-free interactive PDF reports that leverage ChartExpo with links that users can click on to go directly to visualizations of results, and vice verse.
Anu Passary of Tech Times reports, “Microblogging site Twitter is gearing up to partner with the Massachusetts Institute of Technology (MIT) on a new project, which hopes to gain a better understanding of online interactions. Twitter is investing $10 million for the development of the Laboratory for Social Machines (LSM) over a five-year period. The new MIT Lab will produce a new social networking platform, analytic tools and also mobile apps that will connect individuals better. The LSM will be able to access Twitter’s live streams of tweets and the site’s public archives right from the time Twitter began. The project will focus on the creation of novel technology that can understand ‘semantic and social patterns’.” Read more
John Boyd of IEEE Spectrum reports, “With satellite, cable, and terrestrial TV stations broadcasting in the hundreds and Internet-based entertainment content companies also competing for viewers’ attention, finding something to watch is, strangely, a growing challenge. To help simplify the task, researchers at Japan’s public TV and radio broadcaster Nippon Hoso Kyokai, better known as NHK, plan to begin testing technology to automatically assess in real time a viewer’s interest in a TV program or video and then suggest other programs to watch based on the results.” Read more
Once the complicated job of analyzing text is done, well, it’s not. The next step is to share the findings with others – marketers, sales and additional business personnel who are experts in their domain but not necessarily in text analytics themselves. How to turn that analysis into pictures that can be worth a thousand words?
Visualizing text analytics results is what ChartExpo is all about. Shahbaz Anwar, who is CEO of text analytics vendor PolyVista (see coverage here), is also behind the new visualization library, which was built for PolyVista’s use but now is available for others to leverage. Anwar says that many of the typical, garden-variety visualization tools out there aren’t a good fit for showcasing text and survey analytics results, so the decision was made to leverage the D3.JS framework to build its own libraries upon, which others can now license for use.
“Really what we’re after is how to tell your story with one visualization,” Anwar says.
DUBLIN, September 15, 2014- AYLIEN, Inc., a Dublin-based firm backed by SOS Ventures, has announced the availability of a Google Sheets add-on which extracts meaningful data from documents.
The add-on was built using AYLIEN’S own Text Analysis API, released in February of this year, and features the full capabilities of the original product. The Text Analysis API, as the original press release states, “enables developers and news organizations to extract meaningful insights” from a given text. The Google Sheets add-on extends that capability beyond developers and news organizations. 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.
George Anders of Forbes reports, “Medallia is $50 million richer, thanks to a new infusion from one of Silicon Valley’s top venture firms: Sequoia Capital. The new money will help the Palo Alto, Calif., customer-insights company expand geographically and tackle one of software’s trickiest challenges: decoding the noisy rumbles of public sentiment. Medallia helps big companies such as Nordstrom, Best Western, Lego and Telstra figure out what customers really think about various products and services. A generation ago, direct feedback was scarce. Now, if anything, there’s too much of it. Add up everything being expressed on Twitter, Yelp, TripAdvisor, e-mail surveys and old-fashioned comment cards — and company executives can feel as if they’re drowning in too much information that keeps arriving hourly in haphazard form.” Read more
Seth Grimes, president and principal consultant of Alta Plana Corp. and founding chair of the Sentiment Analysis Symposium, has put together a thorough new report, Text Analytics 2014: User Perspectives on Solutions and Providers. Among the interesting findings of the report is that “growth in text analytics, as a vendor market category, has slackened, even while adoption of text analytics, as a technique, has continued to expand rapidly.”
Grimes explains that in a fragmented market, consisting of everything from text analytics services to solution-embedded technologies, the opportunities for users to practice text analytics is strong, but that increasingly text analytics is not the main focal point of the solutions being leveraged.
Reflecting the diversity of options, respondents listed among their providers a number of open-source offerings such as Apache OpenNLP and GATE, API services such as AlchemyAPI and Semantria, and enterprise software solution and business suite providers like SAP. The word cloud above was generated by Alta Plana at Wordle.net to show how users responded to the question of companies they know provide text/content analytics functionality. Nearly 50 percent of users are likely to recommend their most important provider.
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