锦中融合门户系统

import tensorflow as tf

from tensorflow.keras.preprocessing.text import Tokenizer

from tensorflow.keras.preprocessing.sequence import pad_sequences

texts = ["查询订单状态", "查看账户信息", "修改密码"]

labels = [0, 1, 2]

tokenizer = Tokenizer(num_words=100)

tokenizer.fit_on_texts(texts)

sequences = tokenizer.texts_to_sequences(texts)

padded = pad_sequences(sequences)

model = tf.keras.Sequential([

tf.keras.layers.Embedding(100, 16, input_length=5),

tf.keras.layers.GlobalAveragePooling1D(),

tf.keras.layers.Dense(16, activation='relu'),

tf.keras.layers.Dense(3, activation='softmax')

])

model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

model.fit(padded, labels, epochs=10)