class_docstr: Implements the log-odds-ratio with an uninformative dirichlet prior from
          Monroe, B. L., Colaresi, M. P., & Quinn, K. M. (2008). Fightin' words: Lexical feature selection and evaluation for identifying the content of political conflict. Political Analysis, 16(4), 372–403.
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docstr: Parameters
  ----------
  alpha_w : np.float
          The constant prior.
docstr_tok: ["Parameters","--","--","--","--","--","alpha_w",":","np.float","The","constant","prior","."]
code: def __init__(self, alpha_w=0.001, ranker=AbsoluteFrequencyRanker):
      """
      Parameters
      ----------
      alpha_w : np.float
              The constant prior.
      """
      self.alpha_w = alpha_w
  
file_path: scattertext/scattertext/termsignificance/LogOddsRatioUninformativeDirichletPrior.py
imports: import numpy
  from scipy.special import ndtr
  from scattertext.termranking import AbsoluteFrequencyRanker
  from scattertext.termsignificance.TermSignificance import TermSignificance
label_desc: Use image node_id 1 to create a new LogOddsRatioUninformativeDirichletPrior object from inherited base classes: TermSignificance with example: obj = LogOddsRatioUninformativeDirichletPrior(alpha_w, ranker)