['0000', 'Everyone', 'age', 'remembers', 'Þ', 'rst', 'heard', 'contest', 'I', 'sitting', 'hideout', 'watching', ...]

['age', 'remember', 'hear', ...]

syns = wn.synsets("heard")
print(syns[0].lemmas()[0].name())

def clean_text(text):
# Eliminating punctuations
text = "".join([word for word in text if word not in string.punctuation])
# tokenizing
tokens = re.split("W+", text)
# lemmatizing and removing stopwords
text = [wn.lemmatize(word) for word in tokens if word not in stopwords]
# converting token list into synset
syns = [text.lemmas()[0].name() for text in wn.synsets(text)]
return text

syns = [text.lemmas()[0].name() for text in wn.synsets(text)]
AttributeError: 'WordNetLemmatizer' object has no attribute 'synsets'