Systems and methods for facilitating seamless flow content splicing
US-12177498-B2 · Dec 24, 2024 · US
US8995822B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8995822-B2 |
| Application number | US-201213419576-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 14, 2012 |
| Priority date | Mar 14, 2012 |
| Publication date | Mar 31, 2015 |
| Grant date | Mar 31, 2015 |
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A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.
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We claim: 1. A method for analyzing a media content item, the method comprising: receiving, by a media analyzer, the media content item; evaluating, by the media analyzer, at least a portion of the media content item; delimiting, by the media analyzer, a segment of the media content item; based, at least in part, on the evaluating, associating, by the media analyzer, a sentiment-state keyword with the delimited segment; and storing, by the media analyzer, a map of the deli…
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