<p>下面是两个字符串之间的余弦相似性匹配算法。你知道吗</p>
<p>请参考下面的链接来解释这个理论</p>
<p><a href="https://blog.nishtahir.com/2015/09/19/fuzzy-string-matching-using-cosine-similarity/" rel="nofollow noreferrer">https://blog.nishtahir.com/2015/09/19/fuzzy-string-matching-using-cosine-similarity/</a></p>
<pre><code>import re
import math
from collections import Counter
def get_cosine(vec1, vec2):
intersection = set(vec1.keys()) & set(vec2.keys())
numerator = sum([vec1[x] * vec2[x] for x in intersection])
sum1 = sum([vec1[x]**2 for x in vec1.keys()])
sum2 = sum([vec2[x]**2 for x in vec2.keys()])
denominator = math.sqrt(sum1) * math.sqrt(sum2)
if not denominator:
return 0.0
else:
return float(numerator) / denominator
def text_to_vector(text):
word = re.compile(r'\w+')
words = word.findall(text)
return Counter(words)
def get_result(content_a, content_b):
text1 = content_a
text2 = content_b
vector1 = text_to_vector(text1)
vector2 = text_to_vector(text2)
cosine_result = get_cosine(vector1, vector2)
return cosine_result
print(get_result('liver neoplasms', 'cancer, liver'))
print(get_result('liver neoplasms', 'cancer, breast'))
</code></pre>