如何在Python中获得字符串与另一个字符串类似的概率？
我想获得像0.9(意味着90%)等十进制值.最好使用标准的Python和库.
例如
similar("Apple","Appel") #would have a high prob.
similar("Apple","Mango") #would have a lower prob.
从Python:tf-idf-cosine:为了找到文档相似性,可以使用tf-idf余弦计算文档相似度.没有导入外部库,是否有任何方法可以计算2个字符串之间的余弦相似度？
s1 = "This is a foo bar sentence ."
s2 = "This sentence is similar to a foo bar sentence ."
s3 = "What is this string ? Totally not related to the other two lines ."
cosine_sim(s1, s2) # Should give high cosine similarity
cosine_sim(s1, s3) # Shouldn't give high cosine similarity value
cosine_sim(s2, s3) # Shouldn't give high cosine similarity value