Submitted by Campbell_MG t3_yz5pls in dataisbeautiful
Campbell_MG OP t1_iwyibbh wrote
Reply to comment by MmM921 in [OC] Inspired by movie barcodes, I made some emotional barcodes for books by Campbell_MG
Yeah, this is exactly right. There's a comment in here with a link to the model I've used.
tommy_chillfiger t1_iwywwwc wrote
I would be interested to see the same viz with a 'less granular unit' if that makes sense. Sorry I'm chronically weak on terminology lol - but instead of having the model classify every sentence, maybe every paragraph. It is so granular as it is now that it's hard to read intuitively, but I also suspect mood is more meaningful in literature over longer units than a single sentence on average.
I have never used ML models except for janky bespoke corpus analytics software in college linguistics classes so if there are computational reasons this approach wouldn't work then I get that.
lordicarus t1_iwz8c78 wrote
It also needs a category for general apathy. The four emotions here don't allow for complete neutrality which would 100% be possible with many sentences.
Like... The sentences above. Sad? Happy? Angry? Scared?
tommy_chillfiger t1_iwz93ka wrote
I'm gonna go with "politely critical" 🥴
Strong-Patience-2759 t1_iwz2lw4 wrote
Really beautiful. Thanks for the introduction to sentiment analysis.
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