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by eljs 3334 days 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!
3 comments

Maybe you could use RNNs to do the sentiment analysis, either Recurrent or Recursive Neural Networks. Some sample code is available in the book "Tensorflow for machine intelligence" in github.
Maybe if you get information about cut frequency you could identify parts that are more actionish / exciting than others.
has anyone tried opensubtitles.org

just found it on google

Just sometimes, because is the only place that has subtitles for some old movies. But I personally prefer Subscene.com.
never mind looks kinda scammy
Nah, it's fine, it tries to push you their downloader, but if you avoid the pitfalls the content is good. I've used it many times over the years.