Predict the next word of your text using Long Short Term Memory (LSTM)

This article was published as a part of the Data Science Blogathon

Introduction:

Natural language processing has been an area of research and used widely in different applications. We often love texting each other and find that whenever we try to type a text a suggestion poops up trying to predict the next word we want to write. This process of prediction is one of the applications NLP deals with. We have made huge progress here and we can use Recurrent neural networks for such a process. There have been difficulties in basic RNN and you can find it here.

This article deals with how we can use a neural model better than a basic RNN and use it to predict the next word. We deal with a model called Long Short term Memory (LSTM). We can use the TensorFlow library in python for building and training the deep learning model.

Why use

 

 

 

To finish reading, please visit source site