我目前有一个从www.example.com抓取的Pandas Dataframe reddit.com/r/cryptomoonshots，代码如下：

df = pd.DataFrame([vars(post) for post in reddit.subreddit('cryptomoonshots').hot(limit=100)])
df = df[["title","score","url"]]
df.head()

生成一个可读的df：

title                                               score
3   Valor Game Token | Next X100 Gems | Insane Mar...   1135
4   Legends of Aragon token launch | NFT Game is a...   1085
5   TetheRhino Tomorrow Presale 16:00 UTC on DxSal...   833
6   GYM NETWORK The First DeFi Aggregator With Int...   442
7   Puli (PULI) is taking the BSC scene by storm! ...   1482

由于这些帖子的前1-3个单词描述了硬币本身被先令，我想把它们与一个列表配对，然后对它们进行相应的分类。例如，“Beagle Coin”将作为一个字符串的一部分，在一个包含名为Dogs =['Beagle'，etc]的列表中找到。
迭代部分并不难，但是我们如何生成一个列表来匹配这些内容呢？
我尝试使用wordnet和itertools：

from nltk.corpus import wordnet as wn
from itertools import chain
dogs = list(chain(*[i.lemma_names for i in wn.all_synsets() if "dog" in i.definition]))

但它给了我错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-33-7da682828270> in <module>
      1 from itertools import chain
----> 2 dogs = list(chain(*[i.lemma_names for i in wn.all_synsets() if "dog" in i.definition]))

<ipython-input-33-7da682828270> in <listcomp>(.0)
      1 from itertools import chain
----> 2 dogs = list(chain(*[i.lemma_names for i in wn.all_synsets() if "dog" in i.definition]))

TypeError: argument of type 'method' is not iterable