topic modelling scrap.txt

seen2 = set()
synonym_nd= []
for item in synonyms:
    if item not in seen2:
        seen2.add(item)
        synonym_nd.append(item)
for i in synonyms_nd:
	print i
	
	
	seen2 = set()
for i in synonyms:
	for j in i:
		seen2.add(j)

print list(seen2)

synonyms = set()
wdsyns = set()
 
for i in topics:  #make a function syns(word) that accept a word and returns list synonyms of it
	for syn in wordnet.synsets(i):
		for l in syn.lemmas():
		    wdsyns.add(l.name())
		print wdsyns
		#wdsyns=list(set(wdsyns))
	synonyms.add(tuple(wdsyns))	
#synonyms=list(set(synonyms))

for i in synonyms:
	print i
	print "\n"