def __init__(self,
                 lexicon_df,
                 use_lemmas=False,
                 **kwargs):
        '''
        Parameters
        ----------
        lexicon_df: pd.DataFrame, Indexed on terms, columns are scores for each category

        Other parameters from FeatsFromSpacyDoc.__init__

        Example:
        >>> print(lexicon_df)
                     activation  imagery  pleasantness
        word
        a                1.3846      1.0        2.0000
        abandon          2.3750      2.4        1.0000
        abandoned        2.1000      3.0        1.1429
        abandonment      2.0000      1.4        1.0000
        abated           1.3333      1.2        1.6667
        '''
        assert type(lexicon_df) == pd.DataFrame
        self._lexicon_df = lexicon_df
        super(FeatsFromScoredLexicon, self).__init__(use_lemmas, **kwargs)

        Parameters
        ----------
        lexicon_df: pd.DataFrame, Indexed on terms, columns are scores for each category

        Other parameters from FeatsFromSpacyDoc.__init__

        Example:
        >>> print(lexicon_df)
                     activation  imagery  pleasantness
        word
        a                1.3846      1.0        2.0000
        abandon          2.3750      2.4        1.0000
        abandoned        2.1000      3.0        1.1429
        abandonment      2.0000      1.4        1.0000
        abated           1.3333      1.2        1.6667
        
scattertext/features/FeatsFromScoredLexicon.py