Once the model is trained, a file containing the language model is serialised. If your business is about movies, then this solution is great as the keyboard will only suggest words that are movie-related! Far from being a handicap this can be seen as having a keyboard that works in a specific domain.

The file is processed to extract the information needed for this project so that it becomes the training data for the model.īy using a specific dataset, this predictive keyboard reduces its scope. This dataset was obtained from IMDb which offers different files containing movie and series information. To train the model we will be using a list of movie titles. We will be using a language model (NLP) solution following the previous project NLP with Kotlin. There are different ways of creating the magic behind a predictive keyboard: from search in embedded dictionaries to tree structures to more sophisticated machine learning solutions using Natural Languages Processing (NLP). Predictive keyboards allow to write better and faster by suggesting corrections and possible next words to the user. I will be using the results of that project to show how to create your own predictive keyboard in Android. In a previous post, we saw how to create a machine learning model that generates text.

Keyboard predictive text android