The IBM Watson Trend app distills the sentiment of tens of millions of online conversations by scouring 10,000 sources across social media sites, blogs, forums, comments, ratings and reviews. The Watson app reveals how consumers feel about the products they are considering or have purchased.

Using Watson’s understanding of natural language and machine learning technologies, the app uncovers consumer preferences to pinpoint patterns and trends to reveal why people are choosing certain products or brands. The app also uses predictive analytics to forecast if a particular trend is a fleeting fad or will continue to remain strong.

As consumers use the IBM Watson Trend app to pinpoint what products are popular and why, IBM also reports on how consumers will shop for these gifts.

With the Thanksgiving holiday just one week away, IBM predicts that, for the first time, more consumers will turn to their mobile devices than their desktop to seek out the best buys.

Over the five-day holiday period, mobile traffic is expected to increase by nearly 57 percent, up 17 percent over 2014. Mobile sales are predicted to increase by more than 36 percent, up 34 percent over last year.

IBM also showed a little bit of this app's ability yesterday. As of November 18, the top trends include:

－ Smartphone Photogs Drive Demand for Professional-Grade CamerasWhether it’s Star Wars or Lego City, Buy Now Before It's Too Late

－ Traditional Toys Go Back-to-School:

－ Tis’ the Season for Wearable Tech