I am having a minor issue with nltk.corpus and wordnet. It can't seem to find synonyms for 'yes', even though thesaurus.com says there is, how I can I extract my 'yes' sysnoyms in order to properly assess input into that bottom section.
import textblob as txtnlp
from nltk.corpus import wordnet
def text_extraction():
yes_ls = []
for synset in wordnet.synsets("yes"):
for lemma in synset.lemmas():
yes_ls.append(lemma.name())
init_conversation = str(input('Hello there my name is Therpibot 2.0, your name is? '))
blob_1 = txtnlp.TextBlob(init_conversation)
fragments_name = blob_1.words
print(f'Hello there {fragments_name[0]}!', end=' ')
print('My purpose is to make your day better through some cognitive behavioral therapy.')
init_response = str(input('Would like to engage in a talk session? '))
if init_response.lower() in yes_ls:
therapy()
#ex_1 = list(i.tags for i in fragments)
#print(ex_1)
def therapy():
print('Hi')
if __name__ in "__main__":
text_extraction()
i've tried to do something like that before but wordnet wasn't my best choice but you can take a look here: Wordnet Find Synonyms
and i recommend http://www.conceptnet.io/ for you , it's much better and easier for your task , it's an open data set you can access it for free