输入:
listToStr = 'degeneration agents alpha alternative amd analysis angiogenesis anti anti vegf appears associated based best bevacizumab blindness blood'我正在使用的代码:
simi = []
tokens = nlp(listToStr)
length = len(tokens)
for i in range(length):
#print(i)
sim = tokens[i].similarity(tokens[i+1])
simi.append(sim)
print(simi)错误:
[E040] Attempt to access token at 17, max length 17.如何删除此错误?
我用的是spacy。下面是指向它的链接:https://www.geeksforgeeks.org/python-word-similarity-using-spacy/#:~:text=Python%20%7C%20Word%20Similarity%20using%20spaCy,simple%20method%20for%20this%20task.
发布于 2020-06-08 09:54:57
在for循环中,由于tokens[i + 1]操作的结果,创建了一个超出令牌列表范围的索引。相反,你可以做这样的事情:
import spacy
nlp = spacy.load("en_core_web_sm")
listToStr = 'degeneration agents alpha alternative amd analysis angiogenesis anti anti vegf appears associated based best bevacizumab blindness blood'
simi = []
tokens = nlp(listToStr)
for idx, tok in enumerate(tokens):
sim = []
for nextok in tokens[idx:]:
sim.append(tok.similarity(nextok))
simi.append(sim)这测试了每个单词和句子中下一个单词的相似性,所以结果是一个列表。
https://stackoverflow.com/questions/62259100
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