If a robot read a novel, how would it feel? You might get a sense from these little jingles. Below are some songs that were automatically created by a series of algorithms that turn the emotions in novels into short pieces of music. If the songs remind you, traumatically, of your untalented little sister practicing piano… well, you can't say I didn't warn you.
Actually, the origins of the songs are pretty cool, as the Physics arXiv Blog reports. They start with sentiment analysis, a field in computer science that got hot not long after Twitter did. As more and more people started tweeting, computer scientists and companies wanted to automatically process those tweets, to figure out what emotions people were expressing in them. For example, do people feel negatively or positively about… snack cakes? How do people feel about a specific brand, say, Little Debbie? You can see the commercial interest in this. Read entire article (and listen to the songs) here>