I have an array with different texts. Some of them have repeating adjectives. Now I want to make an array out of this, that contanes truth values with 1 = text contains a repeating adjective and 0 = text does not contain a repeating adjective. This is a sample of my text:
text = (['When someone who is extremely selfish dramatically
wonders why people are so selfish !', 'I asked God to
protect me from my enemies .. shortly after I started losing friends'])
So far I tried to get the type of a word with wordnet
from nltk.corpus import wordnet as wn
my_list = []
for synset in list(wn.all_synsets('a')):
my_list.append(synset)
my_list
truth_values = []
for sentence in text:
for word in sentence:
if word in my_list:
truth_values.append(1)
from nltk.corpus import wordnet as wn
This code gives me the following error:
'str' object has no attribute '_name'
For the dublicate condition I thougt of a counter like
if counter >=1:
truth_value.append(1)
I have a solution for you, so let's go through a few of the bugs that were existing in your code:
Writing list(wn.all_synsets('a') will return a list of all adjectives as Synset objects, but what you really want is the string of the name of the adjective. Calling synset.name() returns data in this format: acroscopic.a.01. Since we only want the first part of that (and as a string), we will change
for synset in list(wn.all_synsets('a')):
my_list.append(synset)
to
for synset in list(wn.all_synsets('a')):
my_list.append(str(synset.name()).split(".")[0])
So now we have the desired list of all adjectives. Now, notice that the line
for word in sentence:
is parsing the individual characters in the sentence rather than words. What we want is
for word in sentence.split(" "):
All that said, here is how I would solve this problem:
truth_values = []
for sentence in text:
adjectives = []
for word in sentence.split(" "):
if word in my_list:
adjectives.append(word)
truth_values.append(1 if any(adjectives.count(adj) > 1 for adj in adjectives) else 0)