Abstract
Next Word Prediction is additionally called Language Modeling. It is the undertaking of predicting what word comes straightaway. Attempting to make model utilizing nietzsche default text record which will foresee clients sentence after the clients composed 40 letters, the model will comprehend 40 letters and anticipate impending top 10 words utilizing RNN neural organization which will be executed utilizing Tensorflow. Our Aim of creating this model to predict 10 or more then 10 words as fast as possible utilizing minimum time. As RNN is Long Short Time memory it will understand past text and predict the words which may be helpful for the user to frame sentences and this technique uses letter to letter prediction means it predicts letter after letter to create a word.
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