Created
September 1, 2020 02:38
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Building a word index from training sentences
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| from tensorflow.keras.preprocessing.text import Tokenizer | |
| #Let's add custom sentences | |
| sentences = [ | |
| "Apples are red", | |
| "Apples are round", | |
| "Oranges are round", | |
| "Grapes are green" | |
| ] | |
| #Tokenize the sentences | |
| myTokenizer = Tokenizer(num_words=100) | |
| myTokenizer.fit_on_texts(sentences) | |
| print(myTokenizer.word_index) |
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