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OP here! I was watching the Stanford NLP classes a while back (https://www.youtube.com/playlist?list=PLiNErZ5Bus8qNxNsFZFkh-9_CzZRW9iH9 https://www.youtube.com/
by eljs 9y ago
OP here! I was watching the Stanford NLP classes a while back (https://www.youtube.com/playlist?list=PLiNErZ5Bus8qNxNsFZFkh-9_CzZRW9iH9 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!
- sawmurai 9y agoMaybe if you get information about cut frequency you could identify parts that are more actionish / exciting than others.
- sharemywin 9y agohas anyone tried opensubtitles.org just found it on google
- sharemywin 9y agonever mind looks kinda scammy
- icebraining 9y agoNah, 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.
- vit05 9y agoJust sometimes, because is the only place that has subtitles for some old movies. But I personally prefer Subscene.com.
- curiousgal 9y agoTry http://www.yifysubtitles.com/ http://www.yifysubtitles.com/
- msapaydin 9y agoMaybe 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.