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Positive vs. Negative ICLR Reviews LORIDP
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| reviews_df = pd.read_csv('https://github.com/JasonKessler/ICLR18ReviewVis/raw/master/iclr2018_reviews.csv.bz2') | |
| reviews_df['parse'] = reviews_df['review'].apply(spacy.load('en', parser=False)) | |
| full_corpus = st.CorpusFromParsedDocuments(reviews_df, category_col='decision', parsed_col='parse').build() | |
| corpus = full_corpus.remove_categories(['Workshop']) | |
| priors = (st.PriorFactory(full_corpus, term_ranker=st.OncePerDocFrequencyRanker) | |
| .use_all_categories().align_to_target(corpus).get_priors()) | |
| html = st.produce_frequency_explorer( | |
| corpus, | |
| category='Accept', | |
| not_categories=['Reject'], | |
| term_ranker = st.OncePerDocFrequencyRanker, | |
| term_scorer = st.LogOddsRatioInformativeDirichletPrior(priors, 1), | |
| grey_threshold = 1.64, | |
| metadata = corpus.get_df()['metadata']) |
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