Jordan Novet of Venture Beat reports, “Analyzing text on the Internet to measure how positive it is — product reviews on Amazon.com, for example — has become easier and less expensive with tools from AlchemyAPI, Semantria, and other companies. But finding the text actually worth mining can be a chore in itself. To do this, Semantria has announced a formal partnership with a company called Diffbot that does the grunt work of finding important passages. Diffbot uses what it calls ‘computer vision’ technology to scour websites for meaningful information, shedding things like complex surrounding Web code. It then churns out clean text for analysis. Once Diffbot supplies Semantria with the structured text, Semantria assesses its meaning and tone. Semantria’s goal is to “bring text and sentiment analysis into the hands of a nontechnical person in under 3 minutes and for less than $1,000,” according to founder and chief executive Oleg Rogynskyy.” Read more
Posts Tagged ‘sentiment analysis’
You know the way Progressive provides car insurance quotes for its own packages as well as other insurers rates? Well, there’s something like that available now for businesses looking to secure the right sentiment analysis tool for themselves.
SemantAPI promises a trio of tools as part of an open-source toolkit to compare natural language processing and sentiment analysis solutions. The new web site actually hails from sentiment analytics vendor Semantria, which delivers a cloud-based sentiment and text analytics service (see our story here).
New York Symposium To Explore “Human Analytics” Solutions That Exploit Big Data Emotion, Connection, And Intent
NEW YORK, Oct. 21, 2013 /PRNewswire-iReach/ — Big Data Analytics authority Seth Grimes has announced the seventh Sentiment Analysis Symposium, the premier conference for social intelligence and cognitive computing, slated for March 5-6, 2014 in New York.
The symposium will feature speakers and panelists from industry-leading and innovative organizations. Sessions will cover business applications that include Customer Experience Management, Consumer and Market Research, Social Media Analytics, Media and Publishing, and Financial Services as well as developments and trends in academic and industry research. Read more
The enterprise version of Bottlenose has formally launched. Now dubbed Nerve Center, the service to provide real-time trend intelligence for brands and businesses, which The Semantic Web Blog previewed here, includes a dashboard featuring live visualization of all trending topics, hashtags and people, top positive and negative influences and sentiment trends, trending images, videos, links and popular messages, the ability to view trending messages by types (complaints vs. endorsements, for example) and real-time KPIs. As with its original service, Nerve Center leverages the company’s Sonar technology to automatically detect new topics and trends that matter to the enterprise.
“Broadly speaking, every large enterprise has to be doing social listening and social analytics,” CEO Nova Spivack told The Semantic Web Blog in an earlier interview, “including in realtime, which is one thing we specialize in. I don’t think any other product out there shows change as it happens as we do.” It’s important, he said, to understand that Bottlenose focuses on the discovery of trends, not just finding what users explicitly search for or track. Part of the release, he added, “will be some pretty powerful alerting to tell you when there is something to look at.”
Actuate and Bitext Announce Collaboration to Deliver Text Analytics Engines and Sentiment Analysis for Big Data Through BIRT
SAN FRANCISCO–(BUSINESS WIRE)–October 02, 2013– Actuate Corporation (NASDAQ: BIRT), The BIRT Company(TM) — delivering more insights to more people than all BI companies combined, today announced their cooperation with Bitext, in parallel with Bitext’s U.S. event in San Francisco this evening at WeWork. Bitext provides text analytics engines — inherently multilingual semantic technologies including text analytics and natural language interfaces — sporting one of the highest degrees of accuracy available today. Bitext recently announced a partnership with Salesforce.com as well. Read more
Breakthrough Multilingual Sentiment Analytics Presented by LinguaSys CEO Brian Garr at Capture 2013 Conference
BOCA RATON, FL. (PRWEB) September 07, 2013 – LinguaSys CEO Brian Garr will be a featured guest speaker at the ninth annual Capture 2013 Conference, September 12, Glen Cove, NY, presenting LinguaSys’ world-class human language technology breakthroughs in multilingual semantic analytics for voice recognition, translation, search, natural language understanding, documents, photographs, sentiment analysis, video and how to extract meaningful, actionable, profitable intelligence from all forms of multilingual data.
Demonstrating LinguaSys’ superior multilingual semantic analytics solutions including its latest product, Sentiment@Work, Garr will explain why the usual methods of multilingual search are ambiguous and the wrong tools for data search, and how international companies that accept multilingual challenges, integrating them into their campaigns, will win. Read more
Evan Selinger, a Fellow at the Institute for Ethics and Emerging Technology, has posted an article for Wired, in which he discusses the implications of how we have simplified the expression of emotion in the online systems we use, and how those simplified emotions are being tracked, analyzed and used.
Referring to Facebook’s addition earlier this year of a range of emotional expressions beyond “Like” and Bitly’s recent announcement of its “Feelings” tool, Selinger says, “I’m not singling out Facebook or even Bitly here; Google Plus on mobile also offers such expressions, as do a number of other websites and apps. The point is that all these interfaces are now focusing on the emotional aspects of our information diets. To put this development in a broader context: the mood graph has arrived, taking its place alongside the social graph (most commonly associated with Facebook), citation-link graph and knowledge graph (associated with Google), work graph (LinkedIn and others), and interest graph (Pinterest and others).”
Bottlenose earlier this month raised $3.6 million in Series A funding to help with its launch of Bottlenose Enterprise, the upcoming tool aimed at helping large companies discover and visualize trends from among a host of data sources, measuring and comparing them for those with the most “trendfluence.” Users will get a realtime dynamic view of change as it happens and a host of analytics for automating insights, the company says.
The Enterprise edition will be a big departure from the current Bottlenose Lite version for individual professionals. That difference starts with the amount of data it can handle. “The free, Lite version looks only at public API data like Twitter’s. The enterprise version uses the firehose,” says CEO Nova Spivack. Another big difference is that the enterprise version adds a lot more views and analytics, in comparison to the personal-use edition, where its Sonar technology provides the chief service of real-time detection of talk around topics personalized to users’ interests so they can visualize and track those topics over time.
Spivack calls what Enterprise does “enterprise-scale trend detection in the cloud,” leveraging a massive Hadoop infrastructure and technologies including Cassandra, MongoDB, and the Storm distributed realtime computation system to process data for deep dives. The cloud handles the computation, and results are shared at the edge, where certain kinds of analytics and visualizations occur locally in the browser for a realtime expience with no latency. With sources such as social streams, stock information, even a company’s proprietary data, and more, the Enterprise version helps brands discover important trends like keywords to bid on or viral content to share, who are their influencers and detractors, what sentiment and demographic movements are taking shape, and to create correlations across data points, too.
Martin Focazio of Interactive TV Today recently wrote, “Today, televisions have poor manners. They don’t listen, they don’t shut up, and they constantly show you things you’re not really interested in seeing. They show violent content to your kids when you’re not around and they don’t even have the courtesy to pause the program when you leave the room. This blind, deaf and dumb machine that dominates our homes is about to change radically. The television of tomorrow will be an ever-observant and civilized part of the home with unmatched access to your tastes and preferences. Like a good butler, it will unobtrusively respond to your wishes (verbalized or not), it will react appropriately to who is in the room and it will offer an appropriate selection of content for your enjoyment. In short, the television of tomorrow will know you and the people you live with, will know what you like, and will seem intelligent–perhaps nearly sentient.” Read more
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