TransPose algorithm writes the soundtrack to novels

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in books on (#3GN)
The automatic analysis of sentiment in text is fast changing the way we interpret and interact with words. On Twitter, for example, researchers have begun to gauge the mood of entire nations by analysing the emotional content of the tweets people generate.

In the same way, other researchers have started to measure the emotional temperature of novels by counting the density of words associated with the eight basic emotions of anticipation, anger, joy, fear, disgust, sadness, surprise and trust.

The next step, obviously was to write an algorithm that measures that emotional temperature throughout full length novels, and generate a musical soundtrack to accompany the text.

Interesting research, or pointless? Time will tell, but energy and money is increasingly being used to judge moods and allow software or equipment to react accordingly. The true value of this research might not become apparent until sometime in the future, even if it is only used so your phone can sing you a soothing song after you receive a nasty email from your boss.

Re: there is something different (Score: 2, Interesting)

by rocks@pipedot.org on 2014-03-21 12:21 (#QZ)

I was thinking that one of the big challenges for scores accompanying Hollywood movies is getting climaxes in the music to match the cutting/editing of the film sequences and action. I wonder if right now film composers actually use a hybrid system whereby they develop the theme, variations and scores for the music, but they use algorithms to find best fits for the music to the video?
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