feature5.py

import nltk
#from feature1 import *
def structuralVariations(words , affectdict , sentidict):
	feature = []
	tags = nltk.pos_tag(words)
	#print tags
	try:
		feature.append( tags[0][1] )
	except:
		feature.append('')
	
	try:
		feature.append( tags[1][1] )
	except:
		feature.append('')
	
	try:
		feature.append( tags[2][1] )
	except:
		feature.append('')
	
	try:
		feature.append( tags[len(words)-3][1] )
	except:
		feature.append('')
	
	try:
		feature.append( tags[len(words)-2][1] )
	except:
		feature.append('')
	
	try:
		feature.append( tags[len(words)-1][1] )
	except:
		feature.append('')

	flag=0
	for i in range (0,len(words)):
		if( words[i] in affectdict):
			feature.append(i+1)
			flag=1
			break
	if(flag==0):
		feature.append(0)
	
	flag=0
	for i in range (0,len(words)):
		if( words[i] in sentidict):
			feature.append(i+1)
			flag=1
			break
	if(flag==0):
		feature.append(0)


	hashtags_part1 =0 
	hashtags_part2=0
	hashtags_part3 =0

	for i in range(0,len(words)):
		#print words[i]
		if(words[i][0]=='#'):
			if(i< len(words)/3):
				hashtags_part1=hashtags_part1+1
			elif(i<( len(words)*2)/3): 
				hashtags_part2=hashtags_part2+1
			else:
				hashtags_part3=hashtags_part3+1 
	#trisecting the number of hashtags 

	feature.append(hashtags_part1)
	feature.append(hashtags_part1)
	feature.append(hashtags_part1)
	#print feature
	return feature




#a = []
#b = []
#structuralVariations(["hello" , "bye" ],a,b)