06_TF-IDF算法代码示例

TF-IDF算法代码示例

0.引入依赖

import numpy as np # 数值计算、矩阵运算、向量运算
import pandas as pd # 数值分析、科学计算

1.定义数据和预处理

# 定义文档
docA = 'The cat sat on my bed'
docB = 'The dog sat on my knees'

# 切割文档
bowA = docA.split(' ')
bowB = docB.split(' ')
# bowA # ['The', 'cat', 'sat', 'on', 'my', 'bed']
# bowB # ['The', 'dog', 'sat', 'on', 'my', 'knees']

# 构建词库
wordSet = set(bowA).union(set(bowB))
# wordSet # {'The', 'bed', 'cat', 'dog', 'knees', 'my', 'on', 'sat'}

2.进行词数统计

# 用字典来保存词出现的次数
wordDictA = dict.fromkeys(wordSet, 0)
wordDictB = dict.fromkeys(wordSet, 0)
wordDictA
wordDictB

# 遍历文档，统计词数
for word in bowA:
    wordDictA[word] += 1
for word in bowB