将文本转换为向量表示的Python代码
时间: 2023-06-07 16:08:29 浏览: 63
以下是一个将文本转换为向量表示的Python代码示例:
```
import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import Dense, Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
# 创建 tokenizer,将文本转换为 token 序列
tokenizer = Tokenizer(num_words=5000)
texts = ['Hello world', 'This is a test', 'How are you']
tokenizer.fit_on_texts(texts)
sequences = tokenizer.texts_to_sequences(texts)
# 对齐所有 token 序列,使它们具有相同的长度
padded_sequences = pad_sequences(sequences)
# 构建神经网络模型,将 token 序列转换为向量表示
def build_model(input_dim, output_dim):
inputs = Input(shape=(input_dim,))
x = Dense(64, activation='relu')(inputs)
x = Dense(32, activation='relu')(x)
outputs = Dense(output_dim, activation='sigmoid')(x)
model = Model(inputs=inputs, outputs=outputs)
model.compile(optimizer=Adam(), loss='binary_crossentropy')
return model
# 训练模型,得到向量表示
model = build_model(padded_sequences.shape[1], 16)
model.fit(padded_sequences, np.zeros((len(texts), 16)), epochs=10, verbose=0)
vectors = model.predict(padded_sequences)
```
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