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empath visualisation doesn't work with non binary categories #31
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Seems like the issue isn't with the multiple categories just the empath visualisation following snippet with 2 categories still fails: import scattertext as st
from IPython.display import IFrame
convention_df = st.SampleCorpora.ConventionData2012.get_data()
convention_df["party"].iloc[3] = "liberal"
convention_df["party"].iloc[4] = "republican"
convention_df["party"].iloc[5] = "liberal"
convention_df["party"].iloc[6] = "republican"
convention_df[convention_df["party"] != "democrat"]["party"] = "not democrat"
empath_corpus = st.CorpusFromParsedDocuments(convention_df[:14],
category_col="party",
feats_from_spacy_doc=st.FeatsFromOnlyEmpath(),
parsed_col="text").build()
html = st.produce_scattertext_explorer(empath_corpus,
category = 'democrat',
category_name = 'democrat',
not_category_name = "Not democrat",
width_in_pixels=1000,
use_non_text_features=True,
use_full_doc=True)
file_name = 'democrat.html'
open(file_name, 'wb').write(html.encode('utf-8'))
IFrame(src=file_name, width = 1200, height=700) |
Thanks for the bug report. I just made some significant improvements to the topic modeling component in Scattertext. You can not only view documents that match an empath category, but if you add
as a parameter to |
Can't click on nodes in the empath visualisation to see the relevant text. Get the below error with diffrent property numbers when clicking on them and text is not rendered under the visualisation.
Browser error:
Python code to generate visualisation:
Your Environment
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