我尝试使用此代码来计算使用 sentiword 的情绪,我尝试了标记化和 pos 标记它可以工作,但是当我尝试这个时,我收到错误消息
print("Array..............\n\n")
tagged=np.array(df['tagged_texts'])
print(tagged)
pos=neg=obj=count=0
for word, tag in tagged:
ss_set = None
if 'NN' in tag and swn.senti_synsets(word):
ss_set = list(swn.senti_synsets(word))[0]
elif 'VB' in tag and swn.senti_synsets(word):
ss_set = list(swn.senti_synsets(word))[0]
elif 'JJ' in tag and swn.senti_synsets(word):
ss_set = list(swn.senti_synsets(word))[0]
elif 'RB' in tag and swn.senti_synsets(word):
ss_set = list(swn.senti_synsets(word))[0]
if ss_set:
pos=pos+synset.pos_score()
neg=neg+synset.neg_score()
obj=obj+synset.obj_score()
count+=1
我收到错误
Array..............
[list([('no', 'DT'), ('coment', 'NN')])
list([('fast', 'RB'), ('respon', 'NN')]) list([('giood', 'NN')]) ...
list([('excelent', 'NN')]) list([('givemore', 'NN'), ('promo', 'NN')])
list([('thankss', 'NN'), ('gojekkk', 'NN')])]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-45-bb3df6752c85> in <module>
5 for word, tag in tagged:
6 ss_set = None
----> 7 if 'NN' in tag and swn.senti_synsets(word):
8 ss_set = list(swn.senti_synsets(word))[0]
9 elif 'VB' in tag and swn.senti_synsets(word):
~\Anaconda3\lib\site-packages\nltk\corpus\reader\sentiwordnet.py in senti_synsets(self, string, pos)
94
95 sentis = []
---> 96 synset_list = wn.synsets(string, pos)
97 for synset in synset_list:
98 sentis.append(self.senti_synset(synset.name()))
~\Anaconda3\lib\site-packages\nltk\corpus\reader\wordnet.py in synsets(self, lemma, pos, lang, check_exceptions)
1573 of that language will be returned.
1574 """
-> 1575 lemma = lemma.lower()
1576
1577 if lang == 'eng':
AttributeError: 'tuple' 对象没有属性 'lower'
谁能帮我理解这段代码哪里出错了?谢谢你