Oscar Picks With The Help of Semantic and Sentiment Analytics Technology
Sunday night’s the big stroll down the red carpet for Hollywood’s elite — for the 85th time. But no need to wait until then to have some fun with old Oscar.
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):







Halloween (of course): The 1978 John Carpenter-directed classic that started Jamie Lee Curtis on her fright-girl career (long before the yogurt days). As a line in the summary says, the film “turned the slasher movie into a viable, successful genre. Halloween has been copied, parodied and even turned into a franchise of its own, but the original is still considered the best of the bunch.”
Jinni, the semantic television discovery engine
Jinni, 
A recent article

Eric Franzon
VP Community
Jennifer Zaino
Contributor
Angela Guess Contributor
semanticweb.com Twitter feed loading...