Instrumented Interconnecteds Intelligent

With Memorial Day this weekend, IBM has analyzed social media to see how people are feeling about traveling over the holiday. Will the economy, gas prices, traffic or the high cost of travel keep people home and their wallets closed?

In fact, the results of the IBM Social Sentiment Index for Memorial Day Travel suggests travel providers and transportation officials could see a boost in demand and traffic during the Memorial Day weekend.

The Index – - which uses analytics and natural language processing technologies to aggregate and gauge public opinions from tens of thousands of Twitter, blogs, message boards and other social media – – reveals that Americans are much more optimistic about their plans for the Memorial Day weekend, with a huge increase this year in the amount of people talking about traveling and spending compared to last year.

Travel site reviews, Twitter and Facebook recommendations from friends and more are very influential in how we determine our travel plans. To be able to understand the nuance of social media conversation and evolving topic discussion threads can help airlines, hoteliers, transportation officials better react, respond to and predict consumer behavior.

For example, an airlines could use sentiment analysis to put together highly targeted last minute deals related to hot topics of conversation like a family reunion or a relaxing spa weekend to fill seats that would otherwise fly empty over the holiday weekend.

Check out the articles relating to the news in Time Magazine and on IDC

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5 Trackbacks
 
September 7, 2012
11:37 am

[...] IBM’s Social Sentiment Index is just one of a number of advanced analytics capabilities being used to enhance the fan experience at the US Open–each of which can be used in business. Another of the tools, called SlamTracker, identifies the keys for each player to win a particular match. If you look at SlamTracker Keys to the Match for yesterday’s contest between Roger Federer and Tomas Berdych, it’s clear why Berdych upset Federer. He met or exceeded all three of his keys to success, which included winning more than 46% of the long rallies, while Federer achieved none of his, which included winning more than 32% of his first serve returns. [...]


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September 7, 2012
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[...] IBM’s Social Sentiment Index is just one of a number of advanced analytics capabilities being used to enhance the fan experience at the US Open–each of which can be used in business. Another of the tools, called SlamTracker, identifies the keys for each player to win a particular match. If you look at SlamTracker Keys to the Match for yesterday’s contest between Roger Federer and Tomas Berdych, it’s clear why Berdych upset Federer. He met or exceeded all three of his keys to success, which included winning more than 46% of the long rallies, while Federer achieved none of his, which included winning more than 32% of his first serve returns. [...]


Posted by: US Open Tennis: Data Shows Losers on the Court Can be Winners in Social Media « A Smarter Planet Blog
 
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[...] writers like to predict who they feel are the most likely to win the US Open, we’ll use the IBM Social Sentiment Index to measure what fans are saying and expressing about the tournament on Twitter. Later in the [...]


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