acceptance_vs_polarity_four_square_phrases.py

four_square_corpus_phrases = (st.CorpusFromParsedDocuments(reviews_df, category_col = 'category', parsed_col = 'parse',
                                                           feats_from_spacy_doc=st.PhraseMachinePhrases())
                              .build().compact(st.ClassPercentageCompactor(term_count=1)))
four_square_axes = st.FourSquareAxes(four_square_corpus_phrases, 
                                     left_categories=['Accept, Positive'], 
                                     right_categories=['Accept, Negative'], 
                                     top_categories=['Reject, Positive'], 
                                     bottom_categories=['Reject, Negative'], 
                                     labels = {'a': 'Positive',
                                               'b': 'Review that was Contrary to Accpetance Decision',
                                               'not_a': 'Negative',
                                               'not_b': 'Review that in Line With Acceptance Decision'},
                                     term_ranker=st.OncePerDocFrequencyRanker)
html = st.produce_four_square_axes_explorer(
    four_square_axes=four_square_axes,
    x_label="Accepts: Pos-Neg",
    y_label='Rejects: Neg-Pos',
    use_full_doc=True,
    pmi_threshold_coefficient=0,
    censor_points=False,
    metadata=four_square_corpus_phrases.get_df()['metadata'],
    color_func='(function(d) {return d3.rgb(230, 220, 230)})',
)