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IMDB Sentiment Classification
https://github.com/weakrules/Denoise-multi-weak-sources/tree/master/rules-noisy-labels/IMDB
# Labels
"0": "Negative",
"1": "Positive"
# Labeling functions
lfs = [
expression_nexttime,
keyword_compare,
keyword_general,
keyword_finish,
keyword_plot
]
# lf - expression_nexttime
expression_nexttime = make_expression_lf(name="expression_nexttime",
pre_pos=["will ", " ll ", "would ", " d ", "can t wait to "],
expression=[" next time", " again", " rewatch", " anymore", " rewind"])
# lf - keyword_compare
keyword_compare = make_keyword_lf(name="keyword_compare",
keywords_pos=[],
keywords_neg=[" than this", " than the film", " than the movie"])
# lf - keyword_general
keyword_general = make_keyword_lf(name="keyword_general",
keywords_pos=["masterpiece", "outstanding", "perfect", "great", "good", "nice", "best", "excellent", "worthy", "awesome", "enjoy", "positive", "pleasant", "wonderful", "amazing", "superb", "fantastic", "marvellous", "fabulous"],
keywords_neg=["bad", "worst", "horrible", "awful", "terrible", "crap", "shit", "garbage", "rubbish", "waste"])
# lf - keyword_finish
keyword_finish = make_keyword_lf(name="keyword_finish",
keywords_pos=[],
keywords_neg=["fast forward", "n t finish"])
# lf - keyword_plot
keyword_plot = make_keyword_lf(name="keyword_plot",
keywords_pos=["well written", "absorbing", "attractive", "innovative", "instructive", "interesting", "touching", "moving"],
keywords_neg=["to sleep", "fell asleep", "boring", "dull", "plain"]) |