Posts Tagged ‘sentiment analysis’

Sentiment Analysis PDF Reports Get Interactive

reportThere’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.

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Your TV May Soon Tell You What You Want to Watch

nhkJohn 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

AYLIEN Announces Intelligent Text Analysis Google Sheets Add-on

aylienDUBLIN, 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

With Web 3.0, the Bots Can Do the Shopping for You

5237986683_f8e38a251e_nSramana Mitra of Wired recently wrote, “Back in 2007, even before the iPhone was launched, giving us a powerful computer in our pockets or handbags, I started outlining a vision for Web 3.0. Tim Berners-Lee, a father of the World Wide Web, talks about the ‘Semantic Web,’ a way that computers employ the meaning of words — not just pattern matching — along with logical rules to connect independent nuggets of data and so create more context for information. The formula that makes the most sense to me is this: Web 3.0 results from combining content, commerce, community and context, with personalization and vertical search. Or, to put it in a handy phrase: Web 3.0 = (4C + P + VS).” Read more

Medallia Raises $50M to Decode Customer Sentiment

medGeorge 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

Corporate Social Media: Sentiment Tracking Is Up, But Other Metrics Are Out of the Mix

insightThe State of Corporate Social Media is … well, strong might be too strong a word for it. The recently released State of Corporate Social Media Briefing 2014, from USM (Useful Social Media) finds – among other things – that social media team sizes are being reduced, fewer budgets are increasing, and fewer key performance indicators are being measured.

It’s not all negative. In fact, report author and USM founder Nick Johnson concludes that all together, its results could be interpreted as indicating that “social media within companies is beginning to mature, and the drive to leverage social to its full extent is undiminished.”

That said, the data equally could be interpreted to mean that “social media within companies is stagnating, and there’s an increasing lack of resources available to those within business to move forward to full leverage social’s potential.”

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Attensity Adds to Patent Portfolio for Unstructured Data Analysis Technology

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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

Sentiment Mining for Real Time Insights on Twitter

 

syKalev 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

TransProse Uses Sentiment Analysis to Turn Novels into Music

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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

Twitris Measures Sentiment About Indian Elections

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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

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