[everling]

https://cinetrii.com analyses reviews to infer possible inspirations behind a film.

There are a bunch of things that could be improved with the text processing applied here. The wrong movie title is resolved occasionally, like failing to distinguish between an original and a remake, or a book. Sometimes the wrong part of an article is parsed, resulting in wrong connections.

But I think it works overall, for the right type of film with a rich discourse.

[ramoz]

Could you apply this to tweets? e.g., take user1 tweet, analyze who they follow & current trends, some recursion, find root influencers like:

user1 -> follows user2, tweeted similar -> userN, tweetN -> network and time-map of influence & themes, etc

[dekervin]

You should really run with that idea, it's simply brilliant ! (I am a tad jealous )

[everling]

Thanks, I will. It’s been my side project for a long time, but I only find time to work on it every so often. This past year saw some major updates, though.

[mikkergp]

Cool! this may be /r/internetisbeautiful material when it's done.

[hooande]

great design and interesting content