Create an algorithm for predicting the next word given one or more words as input using NLP

A large corpus of blog, news and twitter data was loaded and analyzed

N-grams were extracted from the corpus and then used for building the predictive model

Various methods of improving the prediction accuracy and speed were explored

N-gram model strategy was used

Dataset was cleaned, lower-cased, removing links, twitter handles, punctuations, numbers and extra whitespaces, etc

Provides a text input box for user to type a sentence.

Detects words typed and predicts the next word reactively.

Shows the time needed to predict the next word

Shows word guessed using last two words, three words, and four words

Predicts using the longest, most frequent, matching N-gram

Application is running at - https://moaz-ahmed-asif.shinyapps.io/Predict_the_Next_Word/

Github link for the code files - https://github.com/moaz-ahmed-asif/Data-Science-Capstone-Project