我正在开发一个简单的 NLP 项目,其中我们给出了一组单词,并从文本中查找相似/语音相似的单词。我找到了很多算法,但没有找到示例应用程序。
它还应该通过比较关键字和找到的单词来给出相似度分数。
谁能帮帮我吗?
def word2vec(word):
from collections import Counter
from math import sqrt
cw = Counter(word)
sw = set(cw)
lw = sqrt(sum(c*c for c in cw.values()))
return cw, sw, lw
def cosdis(v1, v2):
common = v1[1].intersection(v2[1])
return sum(v1[0][ch]*v2[0][ch] for ch in common)/v1[2]/v2[2]
list_A = ['e-commerce', 'ecomme', 'e-commercy', 'ecomacy', 'E-Commerce']
list_B = ['E-Commerce']
for word in list_A:
for key in list_B:
res = cosdis(word2vec(word), word2vec(key))
print(res)
此代码仅进行逐字比较。
谁能帮帮我吗?
最佳答案
我认为您指的是类似 API 的东西,它可以首先将单词转换为 IPA 符号(一种注音符号),然后比较 国际音标符号。
from collections import Counter
from math import sqrt
import eng_to_ipa as ipa
def word2vec(word):
cw = Counter(word)
sw = set(cw)
lw = sqrt(sum(c*c for c in cw.values()))
return cw, sw, lw
def cosdis(v1, v2):
common = v1[1].intersection(v2[1])
return sum(v1[0][ch]*v2[0][ch] for ch in common)/v1[2]/v2[2]
list_A = ['e-commerce', 'ecomme', 'e-commercy', 'ecomacy', 'E-Commerce']
list_B = ['E-Commerce']
IPA_list_a = []
IPA_list_b = []
for each in list_A:
IPA_list_a.append(ipa.convert(each))
for each in list_B:
IPA_list_b.append(ipa.convert(each))
for word in IPA_list_a:
for key in IPA_list_b:
res = cosdis(word2vec(word), word2vec(key))
print(res)
看看这个:[https://github.com/mphilli/English-to-IPA][1]
>>> import eng_to_ipa as ipa
>>> ipa.convert("The quick brown fox jumped over the lazy dog.")
'ðə kwɪk braʊn fɑks ʤəmpt ˈoʊvər ðə ˈleɪzi dɔg.'
示例是从上面的 github 链接创建的。
关于python - NLP - 查找相似/语音单词并计算段落中的分数,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60427951/