![]() ![]() ![]() However, in this article we will see a very simple example of text generation where given an input string of words, we will predict the next word. Deep learning techniques are being used for a variety of text generation tasks such as writing poetry, generating scripts for movies, and even for composing music. Text generation is one of the state-of-the-art applications of NLP. ![]() In this article, you will see how to generate text via deep learning technique in Python using the Keras library. In the previous article, I explained how to use Facebook's FastText library for finding semantic similarity and to perform text classification. This is the 21st article in my series of articles on Python for NLP.
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