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.
Redwood City, CA – July 8, 2014 – Attensity (@Attensity), the leading provider of corporate insight solutions based on proprietary data contextualization, today announced the issuance of US Patent No. 8,645,395 on unstructured data sentiment analysis. This patent was awarded to Biz360 Inc., a wholly owned subsidiary of Attensity Group, Inc., and adds to the nearly dozen that Attensity currently holds for analysis of unstructured data. Read more
Kalev Leetaru of Wired recently wrote, “For its flagship new reality show Opposite Worlds the Syfy channel wanted to let the audience ‘remote control’ the show via social media. I worked with Syfy to create what ultimately became its real-time ‘Twitter Popularity Index.’ The Index combines the intensity of conversation around each character, the number of unique discussants, and the emotion of that discussion using a new sentiment engine powered by over 1.6 million words, phrases and common misspellings and colloquial expressions. Using our Index, Opposite Worlds records across the board in Twitter engagement for a cable television series.” Read more
Katharine Gammon of Inside Science reports, “When reading a novel, it’s common to let one’s mind wander into the imaginary: What might these characters look or sound like? Now, a new project uses algorithms to translate the emotions conveyed within a text into music that reflects the same sentiments. TransProse, as the project is called, is a collaboration between Hannah Davis, a New York-based programmer and artist, and Saif Mohammad, a research officer at the National Research Council Canada in Ottawa. The inspiration for the project came when Davis was in a master’s program for creative communication technology.” Read more
Oneindia News recently shared a new case study of how Twitris was used to measure sentiment about the current elections in India. The article begins, “Based on 900,000 tweets collected from 15 states about three major political parties (BJP, Congress and AAP), our analysis shows how people talked about and reacted to each political party. Using Twitris, their Collective Social Intelligence platform, the researchers at the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University processed each tweet to compute sentiment about the mentioned political party. One parameter to measure popularity is to check which political party gets most positive sentiment or least negative sentiment. Just counting negative (or positive) sentiments on a politician provides, as in this Deccan Herald story, provides little useful information about the state of electorate.” Read more
“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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