计算data1.txt 、data2.txt 、data3.txt这三篇文档之间的相似度。这三篇文档见第三次实验压缩包。用python代码实现

要计算三篇文档之间的相似度，可以使用文本相似度算法，比如余弦相似度。以下是使用Python代码计算文档相似度的示例：

import os
import re
import math

def calculate_similarity(doc1, doc2):
    # 读取文档内容
    with open(doc1, 'r', encoding='utf-8') as f:
        content1 = f.read()
    with open(doc2, 'r', encoding='utf-8') as f:
        content2 = f.read()

    # 文本预处理，去除标点符号和特殊字符
    pattern = re.compile(r'[^\w\s]')
    content1 = re.sub(pattern, '', content1)
    content2 = re.sub(pattern, '', content2)

    # 分词
    words1 = content1.split()
    words2 = content2.split()

    # 构建词频向量
    vector1 = {}
    vector2 = {}
    for word in words1:
        vector1[word] = vector1.get(word, 0) + 1
    for word in words2:
        vector2[word] = vector2.get(word, 0) + 1

    # 计算余弦相似度
    dot_product = 0.0
    norm1 = 0.0
    norm2 = 0.0
    for word in vector1:
        dot_product += vector1[word] * vector2.get(word, 0)
        norm1 += vector1[word] ** 2
    for word in vector2:
        norm2 += vector2[word] ** 2

    similarity = dot_product / (math.sqrt(norm1) * math.sqrt(norm2))
    return similarity

# 文档路径
doc1 = 'data1.txt'
doc2 = 'data2.txt'
doc3 = 'data3.txt'

# 计算相似度
similarity_1_2 = calculate_similarity(doc1, doc2)
similarity_1_3 = calculate_similarity(doc1, doc3)
similarity_2_3 = calculate_similarity(doc2, doc3)

print(f"文档1和文档2的相似度：{similarity_1_2}")
print(f"文档1和文档3的相似度：{similarity_1_3}")
print(f"文档2和文档3的相似度：{similarity_2_3}")

请确保将代码中的`data1.txt`、`data2.txt`、`data3.txt`替换为实际的文档路径。运行代码后，会输出三篇文档之间的相似度。