class_docstr: Yoon Kim and Owen Zhang. Implementation of Credibility Adjusted Term Frequency: A Supervised Term Weighting
  Scheme for Sentiment Analysis and Text Classification. WASSA 2014.
  http://www.people.fas.harvard.edu/~yoonkim/data/cred-tfidf.pdf
class_docstr_tok: ["Yoon","Kim","and","Owen","Zhang",".","Implementation","of","Credibility","Adjusted","Term","Frequency",":","A","Supervised","Term","Weighting","Scheme","for","Sentiment","Analysis","and","Text","Classification",".","WASSA","2014.","http",":","\/\/www.people.fas.harvard.edu\/~yoonkim\/data\/cred-tfidf.pdf"]
docstr: :return: pd.DataFrame
docstr_tok: [":","return",":","pd.DataFrame"]
code: def get_score_df(self):
      """
      :return: pd.DataFrame
      """
  
      X = self._get_X().astype(np.float64)
      tf_i_d_pos, tf_i_d_neg = self._get_cat_and_ncat(X)
      return self._get_score_df_from_category_Xs(tf_i_d_neg, tf_i_d_pos)
  
file_path: scattertext/scattertext/termscoring/CredTFIDF.py
imports: import math
  import pandas
  from scipy.stats import norm
  from scattertext.termscoring.CohensDCalculator import CohensDCalculator
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
  import numpy
  from scipy.sparse import csr_matrix
  import math
  import pandas
  from scipy.stats import norm
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
  import numpy
  from scipy.sparse import csr_matrix
label_desc: Use image node_id 1 for calling the CredTFIDF obj's underlying member method code with example usage: obj.get_score_df() and returns: self