Xiangshi is a Text Similarity Calculator that mainly focuses on Chinese. It also supports Kmeans Clustering.
PIP installation:
pip3 install xiangshi
import xiangshi as xs
xs.cossim("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
import xiangshi as xs
# Simhash
xs.simhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
# Minhash
xs.minhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
arg = [
"西班牙失业率创新高",
"澳大利亚失业率高达5.1%",
"花呗更改绑定银行卡",
"我什么时候开通了花呗",
"从这个角度来看, 我们一般认为,抓住了问题的关键,其他一切则会迎刃而解。"
"从这个角度来看, 每个人都不得不面对这些问题。"
]
xs.weight = "TFIDF" # 将加权方式设置为TFIDF
xs.construct(arg) # 输入TFIDF文本,相同的文本只需调用这个函数一次
xs.cossim("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
xs.simhash("如何更换花呗绑定银行卡", "花呗更改绑定银行卡")
import xiangshi as xs
xs.feature = 64
# The first TFIDF values used when calculating Simhash. The default value is 64
xs.HashNums = 16
# Calculate the number of hash values when calculating Minhash. The default value is 16
xs.prime = 4294967311
# Calculate the maximum hash when calculating Minhash. The default value is 4294967311
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