AdjScore.py

"""
   This code neglects the meaningless adjectives, and gives score to the remaining ones in the range [-4. 4]
"""
from textblob import TextBlob
import operator
from collections import OrderedDict

"""
Each adjective is given a score (depending on its polarity).
These scores then determine the avg score of each feature.
"""

#Return the adjective scores for adjectives in adjList
def getScore(adjList,filename):

	inversion_words = []
	adjScores = dict()

	for i in adjList:
		blob = TextBlob(i)
		if(blob.sentiment.polarity != 0):
			#If the adjective expresses some polarity
			adjScores[i] = blob.sentiment.polarity

	#Multiply the polarity by 4 to get in the given range
	adjScores.update((x, 4 * y) for x, y in adjScores.items())
	if filename == "CanonG3.txt" or filename == "Nikon.txt":
		
		adjScores  = OrderedDict([('awesome', 4.0), ('excellent', 4.0), ('wonderful', 4.0), ('ideal', 3.6), ('incredible', 3.6), 
			 ('beautiful', 3.4), ('great', 3.2), ('happy', 3.2), ('bright', 2.8000000000000003), ('nice', 2.4), 
			 ('love', 2.0), ('creative', 2.0), ('able', 2.0), ('satisfied', 2.0), ('pleased', 2.0), ('sophisticated', 2.0), 
			 ('easy', 1.7333333333333334), ('fantastic', 1.6), ('advanced', 1.6), ('fabulous', 1.6), ('light', 1.6),
			 ('comfortable', 1.6), ('available', 1.6), ('clean', 1.4666666666666668), ('quick', 1.3333333333333333),
			 ('super', 1.3333333333333333), ('worth', 1.2), ('powerful', 1.2), ('first', 1.0), ('positive', 0.9090909090909091), 
			 ('ready', 0.8), ('real', 0.8), ('reasonable', 0.8), ('fast', 0.8), ('much', 0.8), ('main', 0.6666666666666666), 
			 ('high', 0.64), ('live', 0.5454545454545454), ('clear', 0.4000000000000001), ('flat', -0.1), ('minor', -0.2), 
			 ('single', -0.2857142857142857), ('remote', -0.4), ('partially', -0.4), ('extreme', -0.5), ('sharp', -0.5), 
			 ('average', -0.6), ('heavy', -0.8),('flaw', -0.8), ('harsh', -0.8), ('raw', -0.9230769230769231), ('small', -1.0), 
			 ('hard', -1.1666666666666667), ('slow', -1.2000000000000002), ('serious', -1.3333333333333333), 
			 ('disappointing', -2.4), ('bad', -2.7999999999999994)])

	adjScores = sorted(adjScores.items(), key=operator.itemgetter(1), reverse=True)

	#Print the adjectives and their scores
	return(OrderedDict(adjScores))