11–20 of 34 posts
Earlier quoted context omitted.
I don't know this movie but you can try it out by uploading the movies srt file.
Brazil is a dystopian satire. I would wager that GP is asking about scenarios where there is significant ambiguity and/or situational/verbal irony.
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!
just found it on google
Why does the graph go from green to blue?
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!
has anyone tried opensubtitles.org just found it on google
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!
has anyone tried opensubtitles.org just found it on google
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!
The colour gradient on the graph is confusing - does green mean happy, blue unhappy, and the movie changes tone over time? Axes of the graph are not labeled, what are we looking at? But, those concerns are secondary.
Bar graph seems a poor choice here, given the nature of the data. Given that there doesn't seem to be any correlation with time, the order of phrases doesn't seem important -- you could forgo the linear presentation, and display the distribution of the data instead.
For example, you could bucket the sentiment values (-3 to -2, -2 to -1, etc) and use a histogram to show the counts in each bucket. This would enable you to compare different movies (one histogram per movie).
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!
has anyone tried opensubtitles.org just found it on google