def get_names(data): names=[] for sent in nltk.sent_tokenize(doc): for chunk in nltk.ne_chunk(nltk.pos_tag(nltk.word_tokenize(sent))): if hasattr(chunk, 'node'): if chunk.node=='PERSON': leaf=chunk.leaves()[0] name = ' '.join(c[0] for c in chunk.leaves()) names.append(name) return names
def get_names(self, gender):
if gender == "m":
path = "male_names.txt"
alternate_path = "tools/male_names.txt"
else:
path = "female_names.txt"
alternate_path = "tools/female_names.txt"
names = []
try:
with open(path, "r") as f:
for name in f:
names.append(name.strip().title())
except FileNotFoundError:
with open(alternate_path, "r") as f:
for name in f:
names.append(name.strip().title())
return names
nouns=[]
for la in tagged:
if (la[1].lower() == 'nnp'):
nouns.append(la[0].lower())
name=raw_input("Enter name of freedom fighter")
if name in mynames:
print "Associated: 1.Names 2.Locations"
ch=raw_input("Type 1 or 2")
ch=int(ch)
if ch==1:
names=[]
for noun in nouns:
for name1 in mynames:
if (noun == name):
names.append(noun)
names=list(set(names))
names=names.remove(name)
print "The names of freedom fighters associated with "+name+" are:"
for i in names:
print i
elif ch==2:
locations=[]
for noun in nouns:
for loc in mylocations:
if (noun == loc):
locations.append(noun)
locations=list(set(locations))
print "The location associated with "+name+" are:"
