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?
我正在使用spacy。这是它的链接:https://www.geeksforgeeks.org/python-word-similarity-using-spacy/#:~:text=Python%20%7C%20Word%20Similarity%20using%20spaCy,simple%20method%20for%20this%20task.
for
循环内部,由于tokens[i + 1]
操作而创建了超出令牌列表范围的索引。您可以改为执行以下操作: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)
此测试每个单词与句子中下一个单词的相似性,因此结果是列表列表。