sentences-similarity-cluster:计算句子的相似度并将结果聚类

上传者: 42165508 | 上传时间: 2022-06-22 11:54:46 | 文件大小: 13KB | 文件类型: ZIP
句子相似度簇 sensim_cluster使用Levenshtein距离计算文本数据(来自文件)的相似度,并对结果进行聚类(分层聚类)。 聚类结果以树状图显示。 用法 准备数据文件 在下面运行该程序 # -*- coding: utf-8 -*- import sys from sensim_cluster . sensim_cluster import SensimCluster from matplotlib import pyplot as plt from scipy . cluster . hierarchy import dendrogram cluster = SensimCluster ( 'YOUR_DATAFILE_PATH' ) ids = cluster . get_ids () result = cluster . ward () mod_ids = [ id [

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