python输出基于窗口的中文文本共词矩阵,并构建复杂网络的代码
时间: 2024-04-29 14:25:47 浏览: 7
以下是一个示例代码,可以输出基于窗口的中文文本共词矩阵,并构建复杂网络:
```python
import jieba
import numpy as np
import networkx as nx
# 读取文本文件
with open('text.txt', 'r', encoding='utf-8') as f:
text = f.read()
# 分词
words = list(jieba.cut(text))
# 构建共词矩阵
window_size = 5
co_matrix = np.zeros((len(words), len(words)), dtype=np.int32)
for i in range(len(words)):
for j in range(i + 1, min(i + window_size + 1, len(words))):
if words[i] != words[j]:
co_matrix[i][j] += 1
co_matrix[j][i] += 1
# 构建复杂网络
G = nx.Graph()
for i in range(len(words)):
G.add_node(words[i])
for i in range(len(words)):
for j in range(i + 1, len(words)):
if co_matrix[i][j] > 0:
G.add_edge(words[i], words[j], weight=co_matrix[i][j])
# 输出结果
print(nx.info(G))
```
请注意,这个代码示例不一定完美,仅供参考。如果您有更好的实现方式,欢迎分享!