Yeah, good fit, plenty of sentiment analysis to be done at Google. I guess when you have as much money as they do you can afford this kind of outlay to avoid some of the hit and miss of hiring the positions normally.
They probably make a good amount through both ad revenue and referrals from Fandango, not enough to justify 10 million, but they've said a few times now that Movies are just the first of many verticals that they are looking at.
I like it, and I wonder how it works? I mean how can it be so fast? Do you think they have access to the Firehose? My results were pretty instants, and I think it would have taken longer to get all the tweets of all the people I follow from Twitter.
From what I can figure out the sentiment analysis engine, looks through the people you're following on twitter and sees what movies they've talked about, and compares that against movie ratings and possibly overall number of tweets, to recommend you a movie ? Anyone else have any other insights.
I think it simply matches tweets with movie titles. For example in my timeline somebody is saying "What's I'm getting from @t's TRON tweets is that I should skip the movie and instead play the game and read the graphic novel.", which fflick translates (wrongly) to the movie "play the game".
