original_docstring: 
    Filter out adjectives not contributing any negativity or positivity to the nouns.
    e.g. Convert
    {'HOUSE': ['BIG', 'LARGE'], 'CAR': ['NOT GOOD']}
    to
    {'CAR': ['NOT GOOD']}
    since big and large do not add any negativity or positivity to the car.
    
docstring: Filter out adjectives not contributing any negativity or positivity to the nouns.
docstring_tokens: Filter out adjectives not contributing any negativity or positivity to the nouns .
code: def filterOutNonSignificantAdjectives(resulting_noun_adjectiveList_dict):
    '''
    Filter out adjectives not contributing any negativity or positivity to the nouns.
    e.g. Convert
    {'HOUSE': ['BIG', 'LARGE'], 'CAR': ['NOT GOOD']}
    to
    {'CAR': ['NOT GOOD']}
    since big and large do not add any negativity or positivity to the car.
    '''
    retVal = {}
    for noun, adjList in resulting_noun_adjectiveList_dict.items():
      for adj in adjList:
        noun_with_qualifying_adjective = adj + " " + noun # e.g. { QUALITY: [GREAT] } -> GREAT QUALITY
        adj_sentiment = get_overall_sentimentPolarity(noun_with_qualifying_adjective)
        if adj_sentiment != 'neutral': # only add if it has importance (i.e. adding positivity or negativity qualification to the name )
          retVal.setdefault(noun, set()).add(adj)
    
    for noun, adjSet in retVal.items(): # convert sets to lists
      retVal[noun] = list(adjSet)
  
    return retVal
code_tokens: def filterOutNonSignificantAdjectives ( resulting_noun_adjectiveList_dict ) : retVal = { } for noun , adjList in resulting_noun_adjectiveList_dict . items ( ) : for adj in adjList : noun_with_qualifying_adjective = adj + " " + noun adj_sentiment = get_overall_sentimentPolarity ( noun_with_qualifying_adjective ) if adj_sentiment != 'neutral' : retVal . setdefault ( noun , set ( ) ) . add ( adj ) for noun , adjSet in retVal . items ( ) : retVal [ noun ] = list ( adjSet ) return retVal
short_docstring: Filter out adjectives not contributing any negativity or positivity to the nouns.
short_docstring_tokens: Filter out adjectives not contributing any negativity or positivity to the nouns .
comment: '''
    Filter out adjectives not contributing any negativity or positivity to the nouns.
    e.g. Convert
    {'HOUSE': ['BIG', 'LARGE'], 'CAR': ['NOT GOOD']}
    to
    {'CAR': ['NOT GOOD']}
    since big and large do not add any negativity or positivity to the car.
    '''$SEP$# e.g. { QUALITY: [GREAT] } -> GREAT QUALITY$SEP$# only add if it has importance (i.e. adding positivity or negativity qualification to the name )$SEP$# convert sets to lists