3-1-2 衔接与拓展：从图像矩阵到文本向量

0416+2509165015/4.py

@@ -0,0 +1,17 @@
+import numpy as np
+corpus = [
+    "我 喜欢 编程",
+    "我 喜欢 学习 Python",
+    "编程 是 有趣 的"
+]
+vocab = sorted(list(set(" ".join(corpus).split())))
+print("词汇表：", vocab)
+def text_to_vector(text, vocab):
+    words = text.split()
+    vector = np.zeros(len(vocab), dtype=int)
+    for i, word in enumerate(vocab):
+        vector[i] = words.count(word)
+    return vector
+vectors = np.array([text_to_vector(text, vocab) for text in corpus])
+print("\n文本向量化结果：")
+print(vectors)