Image Courtesy Flickr/ Sean MacEntee

It’s April Fool’s Day on the Web, and we’re sensing some semantic allusions and downright sentiment analytics assertions in today’s pranks. Have a look:

• Head over to your Google search engine and you’ll be teased to find out what that smell is with Google Nose. or, as they describe it, the new scentsation in search.  Go beyond type, talk, and touch for a new notation of sensation, it promises. The Internet sommelier, Google explains, comes with an expertly curated Knowledge Panels to pair images, descriptions, and aromas. While it credits new technologies such as StreetSense (responsible for Google inhaling and indexing millions of atmospheric miles), and Android Ambient Odor Detection (which collects smells via the mobile OS), it seems to me that the Knowledge Graph had to have a hand in this one.

A new report from Hurwitz & Associates seeks to put text analytics vendors in context. In an environment where unstructured text accounts for 80 percent of the data available to companies, the market analyst and research firm has prepared a Victory Index to help companies suss out who can best help them get value from this information.

By providing the ability to analyze unstructured text, extract relevant information, and transform it into structured information, “text analytics has become a key component of a highly competitive company’s analytics arsenal,” write report authors Fern Halper, partner and principal analyst; Marcia Kaufman, COO and principal analyst; and Daniel Kirsh, senior analyst. Often, the research firm notes, companies begin to experiment with text analytics to gain insight into the unstructured text that abounds in social media, and from that move on to other use cases. For instance, they’ll discover value in mining unstructured data and using it with structured data to improve predictive models.

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Photo credit: FlickR/crd!

With Thanksgiving Day, Black Friday and Small Business Saturday behind us, and Cyber-Monday right in front of us, it is clear the holiday season is in full force. Apparently, retailers – both online and real-world – are doing pretty well as a group when it comes to sales racked up.

Reports have it that e-commerce topped the $1 billion mark for Black Friday in the U.S. for the first time this year, with Amazon, Walmart, Best Buy, Target and Apple taking honors as the most visited online stores, according to ComScore. Consumers spent $11.2 billion at stores across the U.S. on Black Friday, said ShopperTrak, down from last year but probably impacted by more people heading out to more stores for deals that began on Thursday night. The National Retail Federation put total spending over the four-day weekend at a record $59.1 billion, up 13 percent from $52.4 billion last year.

Not surprisingly, semantic technology wants in on the shopping action. Social intelligence vendor NetBase, for instance, just launched a new online tool that analyzes the web for mentions of the 10 top retailers to show the mood of shoppers flocking to those sources. The Mood Meter, which media outlets and others can embed in their sites, ranks the 10 brands based on sentiment unearthed with the help of its natural language processing technology.  Read more

The Digital Channel Intelligence (DCI) Solution unveiled last week by enterprise social intelligence vendor NetBase aims to make conversations on social channels more useful to the brands and agencies that hope to gain insight from that commentary. In a world where digital marketing is swiftly becoming entrenched in most businesses, NetBase says that DCI will offer a comprehensive, real-time picture of what’s happening across forums ranging from Facebook, to Twitter, to YouTube, to Pinterest and others. It will provide a way for digital marketers to roll up key metrics specific to each one (community growth, amplification and conversation rates, for example, as well as total impressions generated), integrating actionable insights from the broader social web. That includes providing an understanding of what fans and followers are saying to help feed digital marketing decisions and direction.

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At this week’s SAP Sapphire conference. NetBase will be taking its relationship with the enterprise vendor to the next level. Last December the two paired up to bring NetBase’s social intelligence (SI) to SAP BusinessObjects’ business intelligence (BI).

Coming up now is a complete integration of the NetBase technology into SAP’s Social On Demand customer relationship management (CRM) console. “Having access to social data is becoming critical to every part of the organization,” says NetBase chief marketing officer Lisa Joy Rosner. So, “social media [becomes] just one more data point” for which the enterprise must account.

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Market Strategies International recently released the first edition of what it says will be an annual Social Media Brand Index, a measure for brands both of consumer-generated social media about them and of their own sponsored content. The Index takes into account four components. Volume, or the amount of buzz about a brand online, is one of them — and its most highly weighted component, too. The others take their cue from what we might call more meaning-related measures, sentiment analytics and semantic markup among them.

For example, there’s net Sentiment, which Market Strategies says represents the ratio of positive to negative sentiments expressed about a brand based on automated natural language processing of the content of posts, comments and mentions. Another component, Positive Emotions, seems to flow from that measure, representing the number of content items that are identified as having the warm fuzzies about them, again based on automated coding of content.

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Bill Ives has commented on NetBase’s recent partnership with SAP. Ives writes, “Now here is a good idea. Why not move social media analysis beyond the marketing department to provide its benefits to other groups within the enterprise? This is exactly what NetBase is doing through its reseller relationship and collaboration with SAP.  NetBase reads and analyzes vast amounts of social media data in real time to help organizations understand what people are saying on the Web: what they love (and hate) about brands, categories, issues and trends.” Read more

Barb Darrow reports, “The new SAP Social Media Analytics service aims to bring more consumer-centric smarts to SAP customers by pairing NetBase semantic search and analytics with SAP’s own business intelligence expertise. The cloud-based service will let ‘business users look at Facebook, Twitter, [and] news feeds to get insight on market trends, what people are talking about, perceptions and a deeper level of information [about] their purchasing intents or what’s driving their conversations,’ said Byron Banks, SAP’s VP of business analytics solution marketing. A graphical dashboard will bring query results from both NetBase and SAP analytics to an iPad or other screen of choice, the two companies said.” Read more

The CIA has invested in semantic search and wireless networking technology. The article reports, “In-Q-Tel, a CIA-based nonprofit that identifies emerging technologies, is partnering with NetBase and Connectify to add semantic search and technology that turns PCs into Wi-Fi networks, respectively, to the cache of technologies available to intelligence agencies.” Read more