Recent submissions

Comment · 5 years ago
I should have left a comment: thanks for pointing that out, I made the change indeed!
Comment · 9 years ago
#666 > #333 And #666 is lighter so less contrast. You’re both saying the same thing.
Comment · 9 years ago
You're right about the graphs. The horizontal axis is the minutes of the movie though (on the second graph). Will get rid of the gradient and add labels!
Comment · 9 years ago
Good question, I just thought it looked nice but maybe I shouldn't have
Comment · 9 years ago
Comment · 9 years ago
I don't know this movie but you can try it out by uploading the movies srt file.
Comment · 9 years ago
OP here! I was watching the Stanford NLP classes a while back (https://www.youtube.com/playlist?list=PLiNErZ5Bus8qNxNsFZFkh...) and ended up trying the part about sentiment analysis on srt files. The way it works right is quite primitive but you can still see some "trends" on most movies. If there are any suggestions on how I could make this smarter I would love to hear them!
Comment · 9 years ago
Must be something with your setup, tsc is known to be quite fast. Maybe try using it with the watcher? "tsc -w" and you'll never need to compile more than one file at a time.
Comment · 9 years ago
Very cool, I've been thinking of doing an affiliate website for a while. But it seems like it could take a lot of time and patience to get it profitable. Thanks for sharing!
Comment · 9 years ago
How do you market this? Is it mostly SEO or ads as well? Must be expensive if you want to compete with Nike and Adidas for clicks...

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