如何找到单词列表之间的语义相似性？

Question

输入：

listToStr = 'degeneration agents alpha alternative amd analysis angiogenesis anti anti vegf appears associated based best bevacizumab blindness blood'

我使用的代码：

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.

如何消除这个错误？

我正在使用spacy。这是它的 link ： https://www.geeksforgeeks.org/python-word-similarity-using-spacy/#:~:text=Python%20%7C%20Word%20Similarity%20using%20spaCy,simple%20method%20for%20this%20task.

Answer 1

在 for 循环内，由于 tokens[i + 1] 操作，创建了一个超出标记列表范围的索引。你可以改为这样做：

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)

这测试了句子中每个词与下一个词的相似性，因此结果是一个列表列表。

如何找到单词列表之间的语义相似性？

How to find semantic similarity between a list of words?

python

spacy

semantics

similarity