code: def main():
      convention_df = SampleCorpora.ConventionData2012.get_data()
      feat_builder = FeatsFromOnlyEmpath()
      corpus = CorpusFromParsedDocuments(
          convention_df,
          category_col="party",
          parsed_col="text",
          feats_from_spacy_doc=feat_builder,
      ).build()
      html = produce_scattertext_explorer(
          corpus,
          category="democrat",
          category_name="Democratic",
          not_category_name="Republican",
          width_in_pixels=1000,
          metadata=convention_df["speaker"],
          use_non_text_features=True,
          use_full_doc=True,
          topic_model_term_lists=feat_builder.get_top_model_term_lists(),
      )
      open("./Convention-Visualization-Empath.html", "wb").write(
          html.encode("utf-8")
      )
      print(
          "Open ./Convention-Visualization-Empath.html in Chrome or Firefox."
      )
  
imports: from __future__ import print_function
  from scattertext import CorpusFromParsedDocuments, produce_scattertext_explorer
  from scattertext import FeatsFromOnlyEmpath
  from scattertext import SampleCorpora
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types