sentymenty

sentiment analysis on contrast comments on two youtube videos - one containing so-called "freak fight" (poor mans box) and second with "good vibes" music due to nlp model/corpora I would use english online resources

resources

negative(?) sentiment video

;; https://www.youtube.com/watch?v=plNJOq9pMnY&ab_channel=FAMEMMA https://www.youtube.com/watch?v=YwNj8ZycZMI&ab_channel=SlapFightingChampionship

positive(?) sentiment video

;; https://www.youtube.com/watch?v=2DiP0mMeaT8&ab_channel=DawidPodsiad%C5%82o https://www.youtube.com/watch?v=1Pg1RguhqxY&ab_channel=ememusicVEVO

usage

in order to run it locally you need to provide environmental variable called YOUTUBE_API_KEY and set it accordingly

things to consider

you should value the comments by the number of reactions to it - relevance
use conn manager https://cljdoc.org/d/clj-http/clj-http/3.12.3/api/clj-http.conn-mgr#make-reusable-conn-manager
cache results - save youtube api quota

references

libpython-clj + spacy interop example: https://github.com/gigasquid/libpython-clj-examples/blob/master/src/gigasquid/spacy.clj
spacy - sentiment analysis using textblob https://spacy.io/universe/project/spacy-textblob https://textblob.readthedocs.io/en/dev/quickstart.html#sentiment-analysis