NLTK.corpus和wordnet

Question

我和nltk.corpus和wordnet有个小问题。它似乎找不到'yes‘的同义词，即使thesaurus.com说有，我如何才能提取我的'yes’sysnoyms，以便正确地评估输入到底部。

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()

Answer 1

我以前也尝试过这样做，但是wordnet不是我最好的选择，但是你可以看看这里：Wordnet Find Synonyms

我向你推荐http://www.conceptnet.io/，它对你的任务来说更好更容易，它是一个开放的数据集，你可以免费访问它