Posts Tagged ‘social media semantics’

Make the Most of Social Media with Latent Semantic Analysis

mashable

Nathan Robertson of Business2Community recently wrote, “Now that business owners are starting to take social media seriously, they are finding that understanding the information that is coming to them at lightning speed has a way of getting away from them before they can make any sense of it. This new form of big data means the creation of a new way of aggregating and breaking down data so businesses can understand what consumers and potential consumers are saying about them, who is buying from them, who isn’t—and why not.” Read more

Oracle Social Cloud Improves Usability of Social Measurement and Monitoring Tools for Global Customers

Oracle

REDWOOD SHORES, CA–(Marketwired – Jan 6, 2014) – Oracle (NYSE: ORCL)

 

News Summary
In today’s hyper-connected, global marketplace, social solutions require the ability to listen, engage, publish and learn across multiple regions, languages and cultures. To help organizations meet their social business objectives, Oracle Social Relationship Management (SRM), an Oracle Social Cloud business solution, has been extended to support new languages, data sources and capabilities.

 

News Facts

 

  • Enabling customers to improve social monitoring and management capabilities globally, Oracle announced extended language and data support for Oracle Social Relationship Management (SRM). Read more

Parllay Advances the Social Media Management Paradigm

parllay

Seattle, WA (PRWEB) November 14, 2013 — Starting today small and medium size businesses will have access to Parllay’s sophisticated enterprise-level capabilities for a fraction of the cost. Parllay’s audience centric platform re-imagines the way businesses use social media tools to acquire, engage, retain and monetize their fan base.

 

Businesses of all sizes struggle with finding the right social media tools, due to product fragmentation at the lower-end of the market and high cost of advanced solutions at the high-end of the market. Parllay solves the problem of fragmentation and high cost with its unified portfolio of platforms, making it a one stop shop for all social media management tasks. Read more

Take A Peek At Some Semantic Halloween Treats

rsz_bones5How can the semantic web help you participate in and celebrate Halloween this year? We trolled around and came up with a few ideas:

* Still haven’t found just the right costume yet for tonight’s festivities (for you, that is – we’re sure the kids have had theirs planned for some time). Perhaps you’re thinking hard about a do-it-yourself skeleton theme, but aren’t sure of the details for creating the most realistic effect? Well, if you head over to semantic search engine DuckDuckGo’s science goodies section, you’ll get a quick response on the number of bones in the human body, courtesy of Wolfram/Alpha computations. You can take it from there.

* OK, costume’s in check. Now how about what to do while wearing it?

sensebotscreenSemantic search engine SenseBot might be a help here, pointing you to information it’s extracted from web pages and summarizing them in a, well, sensible way, as well as offering a cloud of the concepts it’s discovered for you to further narrow your agenda. The results can be a little off here and there, but it’s nice to have an option to further narrow a search, like one for adult activities to partake in on Halloween, to something more granular, like those designed for the “scare” factor.

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DataSift Now Offers Historical Data Analysis Across Twitter Facebook, & More

DataSift

Sarah Perez of TechCrunch reports, “Fresh on the heels of its deal with Tumblr for access to the Tumblr ‘firehose,’ social data platform DataSift is putting that data, and more, to good use with the launch of a new API that performs historical analysis across Twitter, Tumblr, and Bit.ly ‘firehoses,’ as well as data pulled from forums, blogs and public Facebook data. With ‘Historic Preview,’ as DataSift is calling it, developers have the ability to perform historical analysis across all sources combined, using four different analysis types. These include: frequency distribution, numeric statistical analysis, target volume, and word count (a list of up to 100 of the most often used words). The analysis functions can be applied to all 400+ metadata fields, the company says.” Read more

Facebook Launches AI Effort to Find Meaning in Posts

Facebook

Tom Simonite of the MIT Technology Review reports, “Facebook is set to get an even better understanding of the 700 million people who use the social network to share details of their personal lives each day. A new research group within the company is working on an emerging and powerful approach to artificial intelligence known as deep learning, which uses simulated networks of brain cells to process data. Applying this method to data shared on Facebook could allow for novel features and perhaps boost the company’s ad targeting. Deep learning has shown potential as the basis for software that could work out the emotions or events described in text even if they aren’t explicitly referenced, recognize objects in photos, and make sophisticated predictions about people’s likely future behavior.” Read more

PeerIndex Now Offers More Transparency to Users with MyPeerIndex

PeerIndexIn a new update, PeerIndex users can now view their full influence profiles and download all the data they’ve made available to PeerIndex with one click. The company blog states, “As a data provider we feel that the most responsible way to handle our business is to be transparent with social media users. We strongly believe in the power of data to make your interactions with brands more helpful and relevant, but at the same time, we are firmly of the opinion that you, the customer, has to have the final say in whether brands get to see your data or not. We fully comply with international data protection guidelines and best practices – such as not tracking a user when their browser header says ‘DO NOT TRACK’ – and have always ensured that our users’ choices were respected in the way we collect, analyse and publish PeerIndex data.” Read more

Social Analytics & Personalization Leader GraphDive Closes $2M Equity Round, Sees 10x Growth

MENLO PARK, Calif.–(BUSINESS WIRE)– GraphDive, a social analytics and personalization platform today announced that it has closed a $2 million equity round, its first. Investors include Crosslink Capital, Correlation Ventures, Plug & Play Tech Center, Start Capital and Pejman Nozad. The company’s analytics and personalization platform has seen 10x growth over the past three months.

Co-founded in 2011 by Sina Sohangir and Shahram Seyedin-Noor, GraphDive has developed a disruptive technology that provides businesses with deep, actionable insights to drive future marketing campaigns, personalize online offers and segment their users. Most businesses have little idea how to harness the social data revolution to tangibly impact their bottom line. GraphDive is the first company to ride the wave of social login tools such as Facebook Connect to provide deep user analytics for the enterprise via a simple API and enterprise dashboard. Its trifecta of offerings include (1) a personalization widget/API, (2) user segmentation tools and reporting, and (2) a digital advertising solution to drive higher ROI on social ad spending. Read more

Using Twitter to Monitor Food Safety at Restaurants

Leonor Sierra of The University of Rochester reports, “A new system could tell you how likely it is for you to become ill if you visit a particular restaurant by ‘listening’ to the tweets from other restaurant patrons. The University of Rochester researchers say their system, nEmesis, can help people make more informed decisions, and it also has the potential to complement traditional public health methods for monitoring food safety, such as restaurant inspections. For example, it could enable what they call ‘adaptive inspections,’ inspections guided in part by the real-time information that nEmesis provides.” Read more

How Pinterest is Capitalizing on the Semantic Web

Katherine Gray of Entrepreneur reports, “Pinterest, once the purview of wedding planners and overachieving parents, has become one of the most popular social sharing networks, and has been taking steps to become more of a resource for businesses. And it has a plan for its growth in the months to come. For instance, the site recently rolled out ‘rich pins’ — product pins, recipe pins and movie pins — which provide information such as price, availability and locations where users can purchase items they pin from certain retailers. Today, Pinterest is going a step further with automatic notifications for users when a product they’ve pinned goes on sale.” Read more

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