TensorFlow by Google #10使用 NLP 构建讽刺分类器 Using NLP to build a sarcasm classifier

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练习1

!wget --no-check-certificate \ https://storage.googleapis.com/laurencemoroney-blog.appspot.com/sarcasm.json \ -O /tmp/sarcasm.json import json with open("/tmp/sarcasm.json", 'r') as f: datastore = json.load(f) sentences = [] labels = [] urls = [] for item in datastore: sentences.append(item['headline']) labels.append(item['is_sarcastic']) urls.append(item['article_link']) from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.sequence import pad_sequences tokenizer = Tokenizer(oov_token="<OOV>") tokenizer.fit_on_texts(sentences) word_index = tokenizer.word_index print(len(word_index)) print(word_index) sequences = tokenizer.texts_to_sequences(sentences) padded = pad_sequences(sequences, padding='post') print(padded[0]) print(padded.shape) 

练习2

参考

https://youtu.be/-8XmD2zsFBI