Facebook is integrating into its platform Rovi Video’s descriptive information on millions of TV shows, movies, celebrities, sports events and more. The partnership should help users flesh out more details in their entertainment likes and status updates that tag their movie, TV, and other media experiences in their profiles, and aid app developers in leveraging a standardized set of entertainment data for new apps and user-engagement.

Rovi Corp.’s media metadata Video Data set boasts standardized, structured data on more than 4 million programs, including theatrical, DVD and Blu-ray releases.

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In the fall Google updated its Google TV platform to Version 3.0, touting features like its new Voice Search. This week, expect to hear about a slew of new products with the technology onboard launching at the CES show in Las Vegas.

Google recently reported on its Google TV blog that new partners added to its Google TV list include Asus, Hisense, and TCL.  LG, Sony, Vizio and others will have refreshes of their set-top boxes, integrated TVs, and IPTV boxes with the latest Google TV platform on board.

Consumers that buy into these offerings also will be increasing their exposure to Google’s Knowledge Graph. The Google TV platform’s advanced voice control for changing channels or finding content of personal interest to watch (live or via Internet streaming), its new programming guide app, and its other smarts deliver results with the help of the vendor’s own Knowledge Graph, according to GIGAOM. With the Knowledge Graph, search queries run against a database of entities and relationships — it’s the search engine’s way of, as Google says, understanding “things, not strings.”

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Market Strategies International recently released the first edition of what it says will be an annual Social Media Brand Index, a measure for brands both of consumer-generated social media about them and of their own sponsored content. The Index takes into account four components. Volume, or the amount of buzz about a brand online, is one of them — and its most highly weighted component, too. The others take their cue from what we might call more meaning-related measures, sentiment analytics and semantic markup among them.

For example, there’s net Sentiment, which Market Strategies says represents the ratio of positive to negative sentiments expressed about a brand based on automated natural language processing of the content of posts, comments and mentions. Another component, Positive Emotions, seems to flow from that measure, representing the number of content items that are identified as having the warm fuzzies about them, again based on automated coding of content.

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