Posts Tagged ‘Text Analytics’

MonkeyLearn Unveils its Powerful and Affordable Artificial Intelligence Technology Platform for Developers

MonkeyLearn logoA recent release from MonkeyLearn states, “Developers, startups, and small and medium-sized enterprises (SMEs) now have access to a powerful, customizable, and affordable artificial intelligence (AI) technology platform for text mining, MonkeyLearn. As one of the first companies to meet the demands of a new, sophisticated era of AI, MonkeyLearn will be unveiled in beta today at TechCrunch Disrupt San Francisco. MonkeyLearn’s patent-pending algorithm creation engine allows developers in any industry to quickly and easily create and incorporate text mining capabilities into their own platforms, applications and websites, regardless of their experience with AI technologies. Artificial intelligence technologies for text mining have become a priority for Internet and technology companies, as they allow them to understand users’ interests and provide similar or relevant recommendations.”

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RoadMap Your Text Analytics Initiative

analyticspixWhat best practices should inform your company’s text analytics initiatives? Executive Lessons on Modern Text Analytics, a new white paper prepared by: Geoff Whiting, principal at GWhiting.com and Alesia Siuchykava, project director at Data Driven Business provides some insight. Contributors to the lessons shared in the report include Ramkumar Ravichandran, Director, Analytics, at Visa and Matthew P.T. Ruttley, Manager of Data Science at Mozilla Corp

One of the interesting points made in the paper is that text analytics can be applied to many use cases: customer satisfaction and management effectiveness, product design insights, and enhancing predictive data modeling as well as other data processes. But at the same time, a takeaway is that it is better for text analytics teams to follow a narrow path than to try to accommodate a wide-ranging deployment. “All big data initiatives, and especially initial text analytics, need a specific strategy,” the writers note, preferable focusing on “low-hanging fruit through simple business problems and use cases where text analytics can provide a small but fast ROI.

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Clarabridge Goes Straight To The Customers’ Mouth To Analyze Call Center Interactions

cbridge logoCustomer 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.

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A Look At The State of Information Governance

igiThis month saw the release of the Information Governance Initiative’s Annual Report for 2014, a study aiming to report the perceptions of information governance practitioners, providers and analysts as well as advance information governance as a concept, market and operational model.

The IGI consortium and think tank was founded by leaders in the information governance field and supported by vendors with semantic tech and text analytics backgrounds, including EquivioHP/Autonomy, OpenText, Recommind  and Zylab. About 500 respondents provided input to the survey.

About 80 percent of these respondents agreed that IG included risk- and value-focused activities, with the focus, however, on risk prevention, with efforts such as records information and management, information security and compliance as the top-marked concepts. That said, more than 50 percent of respondents in each case include among IG’s facets big data, business intelligence, and data science – and IGI believes that the value side will continue to grow, given the significant recent advancements in data analytics and their continuing spread through the enterprise. Given how far IG’s facets extend, “IG should serve as the coordinating function for all of these activities, tying them together into one humming, efficiently functioning operation.”

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Alta Plana Takes The Pulse Of Text Analytics

wordcloudSeth 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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Daedalus Takes Meaning-As-A-Service To Excel, GATE And CMS Systems

meaningasaserviceDaedalus (which The Semantic Web Blog originally covered here) has just made its Textalytics meaning-as-a-service APIs available for Excel and GATE (General Architecture for Text Engineering), a JAVA suite of tools used for natural language processing tasks, including information extraction in many languages. Connecting its semantic analysis tools with these systems is one step in a larger plan to extend its integration capabilities with more API plug-ins.

“For us, integration options are a way to lower barriers to adoption and to foster the development of an ecosystem around Textalytics,” says Antonio Matarranz, who leads marketing and sales for Daedalus. The three main ecosystem scenarios, he says, include personal productivity tools, of which the Excel add-in is an example, and NLP environments, of which GATE is an example. “But UIMA (Unstructured Information Management Applications) is also a target,” he says. The list also is slated to include content management systems and search engines, among them open source systems like WordPress, Drupal, and Elasticsearch.

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Enterprise Search Doesn’t Have To Stink

reamyimgaeThere’s one thing that Tom Reamy, chief knowledge architect at KAPS Group, says is a continual refrain among enterprise business users: Search sucks. IT regularly attempts to make things better by buying new search engines and for awhile, everything’s good – until content grows and things start to go downhill again.

Enterprise search, he explained to an audience at this week’s Enterprise Search & Discovery summit, “is never going to be solved by search engine technology” alone. It needs a helping hand from a number of different corners to improve the experience. Good governance and taxonomies can help, for example. But there are challenges in their use, such as the fact that the people who write documents for enterprise repositories can be very creative at avoiding tasks they don’t consider their jobs, such as categorizing documents for others to find during their searches, and even if they’re willing to do it, figuring out what a document is about is a very complex decision.

And, as beautiful a structure as a taxonomy may be to behold, marrying it to millions of documents is itself complex in scale and purpose for both authors and librarians who may have had nothing to do with its creation and so can’t be counted on to apply it well.

Less recognized for the role it can play in rescuing enterprise search is text analytics.

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Aylien Takes Text Analytics API To New Audience

aylien imageYou may have heard about Aylien awhile back, when it was trying to carve a niche as a consumer products company that used its text analysis API to inform its delivery of articles via a news reader interface to the masses. It’s changed tactics since then: Now the company — which recently brought semantic web expert and lecturer at NUI Galway and Insight Centre Dr. John Breslin on-board as an advisor — is orienting its text analysis and news APIs to media and PR organizations, as well as other industries and developers.

“It makes a lot of sense for customers,” says CEO and founder Parsa Ghaffari. “The biggest volume of information on the Internet is represented as text, which is obviously unstructured information. Through NLP you can obviously try to find structure in text, …so we think it can be seen as a first step to the semantic web vision to enable any developer or startup to extract that structure and find the value in it.”

Aylien’s text analytics API consists of eight distinct natural language processing, information retrieval, and machine learning APIs for article extraction, article summarization, classification, entity extraction, concept extraction, language detection, sentiment analysis and hashtag suggestions.

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Queen’s Award for Cambridge Text Analytics Software Company Linguamatics

Linguamatics Queens Award Emblem

CAMBRIDGE, England and BOSTON, April 22, 2014 /PRNewswire/ – Linguamatics is today celebrating being named as a winner of the Queen’s Award for Enterprise – the UK’s highest accolade for business success.

 

Linguamatics receives the award for International Trade in recognition of outstanding growth in export sales across USA and Europe for its natural language processing (NLP)-based text analytics software platform. Over the past five years Linguamatics achieved growth in excess of 300 percent in overseas sales and staff growth of almost 200 percent. 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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