# TF-IDF算法示例
# 0.引入依赖
import numpy as np
import pandas as pd
import math
# 1.定义数据和预处理
docA = The cat sat on my bed
docB = The dog sat on my knees
bowA = docA.split( )
bowB = docB.split( )
# print(bowA, bowB)
# 构建词库
wordSet = set(bowA).union(bowB)
# print(wordSet)
# 2.进行词数统计
# 用统计字典来保存词出现的次数
