Text Generation

LSTM Text Generation using Tensorflow

• In Tensorflow, LSTM is used to generate texts.
• Dataset file is adele.txt.
• In order to preprocess dataset and build train data, Tokenizer, which you can import from tensorflow.keras.preprocessing.text and which is used to convert text data to sequences, is utilized.
• Simple LSTM model is used to produce text. In addition, different LSTM approaches are illustrated in code.
• If you aim to produce more realistic text, you can enlarge your dataset so that quality of texts that you can generate can be improved.