The objective of this analysis is to explore the text data from three different sources (blogs, news, and Twitter) and build a predictive model that can handle both seen and unseen n-grams. This model will help in predicting the next word in a given sequence of words, which can be useful for various applications such as text autocompletion.

This is the submission of the Assignment for the second week of the Data Products assignment.