Some services with semantics and sentiment analytics in their genes have already begun. Here are a few examples:

Jinni, the semantic movie and TV Taste engine, has created a detail-filled graphic, based on analysis and cross-referencing it did according to its own Jinni Entertainment Genome (see its blog post here for a look at the entire graphic and more info on its creation):

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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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New Career Opportunities Daily: The best jobs in media.