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
Posts Tagged ‘sentiment analysis’
Every picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.
When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”
“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.”
Twelvefold Introduces Spectrum for Video: Real-Time URL-Level Video Ad Placements Across All Screens
Olivia Solon of Wired reports, “State is a communications platform app for iOS (and soon Android) that aggregates the opinions of people around the world to draw out insights about topics ranging from politics and business to entertainment and sports. The ambition is to create an ‘opinion network’ where anyone, anywhere can express an opinion about anything. The application aggregates those opinions to get a sense of what the world thinks of those topics. State was launched by a company called Equal Media, set up by brothers Alex and Mark Asseily in 2011. Alex has previously had success with consumer electronics company Jawbone, which he founded in 2006. The app launched in closed alpha in May 2013 with around 10,000 users, but it’s now open to everyone.” Read more
27th February 2014 - Attensity, a provider of integrated, real-time solutions that blend multichannel voice of the customer (VoC) analytics and social engagement for enterprise listening needs, has released Analyze 6.3, which includes business-oriented added features and enhancements.
Attensity Analyze 6.3 gives users access to text analytics engines with real-time access to more than 150 million blogs and forums, Facebook, and Twitter. Read more
Jessica McKenzie of Tech President reports, “An international group of researchers led by the University of Sheffield is building a social media “lie detector” named Pheme, after the mythological rumormonger, that can determine in real time whether a information spread on social media is true or false. The idea is that identifying misinformation would allow journalists, government agencies, emergency response, health providers and private companies to respond to emergencies and other events more effectively.” Read more
Frost & Sullivan Applauds LinguaSys for Offering Semantics Based Technology with Multiple Language Packages
MOUNTAIN VIEW, Calif., Feb. 12, 2014 /PRNewswire/ – Based on its recent analysis of the Internet software and services market, Frost & Sullivan recognizes LinguaSys, Inc. with the 2013 North American Frost & Sullivan Early Stage Investment Opportunity Award. As businesses become increasingly globalized, companies have to consistently communicate in a variety of languages. LinguaSys caters to this market need with its software solutions that enable it to add more language packages in 120 days, which is a third of the average delivery time. The solidity of its business plan and product has attracted the attention of several investors. Read more
What’s next for the capital markets arena when it comes to unstructured content? According to research and consulting firm TABB Group, which specializes in the stock, bond and money markets, it’s time to turn text analytics to internally generated and disseminated unstructured data, which holds a high value for customized intelligence.
In new research, “Inner Voices: Harvesting Text Analytics from Proprietary Data,” research analyst Valerie Bogard and senior analyst Paul Rowady discuss that there are more use cases than initially undertaken for text analytics tools. “Although ultra-low latency trading strategies were an early use case in this space, text analytics is no longer limited to just that,” Bogard said in an email to The Semantic Web Blog. “The use of machine readable news has been widely adopted and all major market data providers incorporate market moving news content into their feeds.”
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