Posts Tagged ‘Thanksgiving’

Moviegoer Social Sentiment: Big Data Analysis For Big Business

Like lots of other families over the recent Thanksgiving weekend, we made our way to the movies. Our choice: Life of Pi. We’d highly recommend it, and according to the IBM Social Sentiment Index, as applied to Moviegoer Social Sentiment over the holiday weekend, so too would a lot of other folks. It earned a 90 percent positive rating.

IBM has engaged in the social sentiment index pursuit in some other endeavors – using its advanced analytics and natural language processing technologies to analyze large volumes of social media data, it had another recent take on Black Friday, for example. It tallied up that shoppers expressed positive consumer sentiment on promotions, shipping and convenience as well as the retailers themselves at a three to one ratio (see our story here for other takes on semantic tech weighing in on the holiday shopping season).

It’s also applied its social media analysis smarts to studying births of trends (cycle chic is on the rise), and which tennis player was on the hearts and minds of the crowd at the U.S. Open (Novak Djokovic and Laura Robson winning the love, with positive sentiment scores at 90 percent or better).

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Semantic Tech Checks In As The Holiday Shopping Begins

 

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

Gobbling Up With The Semantic Web

It’s time to get semantic with your Thanksgiving meal – or what’s left of it. To that end, we toured some semantically-powered foodie services to get some ideas about what to serve up for the big day. Maybe you’ll even find some things you just may never have considered without some semantic web services making it easy to pinpoint to your tastes (literally) or nutritional concerns, or that let you bring to the table the latest delicacies getting high-fives on the social web sentiment scene.

Here we go:

  • Google. For some Thanksgiving-ers, it’s simply off “to the Google,” as the dear family member in charge of our celebration says, to suss out recipes that have been marked up with rich snippets or schema.org microdata. Tired of the same old green bean casserole and plain mashed potatoes each year? Narrow the search engine to its recipes focus and you’ll find a few choice nuggets of Thanksgiving’s best vegetable side dishes – the traditional ones are there, like Martha Stewart’s garlic mashed potatoes (for a bit of a twist) and, yup, the tried-and-true green bean casserole. But you’re not likely to have thought of a pickled root vegetable salad before, courtesy of Cooking Channel TV, are you? Be prepared to set aside an hour and thirty minutes, though, to make it happen.   Read more

Serve Up Thanksgiving Dinner With the Semantic Web’s Help

Photo courtesy: Flickr/Florian

How’s your Thanksgiving meal planning and prep going? Hopefully well, but some day, semantic web technologies might help it go even better.

A couple years back, K. Krasnow Waterman – visiting fellow at MIT who co-chaired its Linked Data Product Development Lab that has evolved into a course – organized a lecture on the topic of the business value of the semantic web. For her presentation, she focused on catering to a consumer application — that is, how the technology could add up to improving prepping a holiday dinner.

It was fun to do it then, Waterman says, and new developments like the integration of Siri into the iPhone could push the envelope even further, adding a voice-activated intelligent personal assistant to the mix.

She describes the vision of streamlining T-Day operations via the semantic web with the initial finding of recipes online. From there, apps could take the recipes a user has selected and extract as structured data various entities – i.e., the ingredients for a shopping list. After the app pulls the ingredient list, the cook-to-be could indicate what’s already in the house (e.g., flour, salt, pepper), so it’s only searching for what’s needed. 

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