Capstone Project - Word Predictor

Predicts next word you will type

The future depends strongly on the past.
That is also valid for natual text: The next written word depend on priorly written words.

Idea: Create a model to predict next word.

• Looks up to three words in the “past” to predict the next word.
  

• There for the model was trained by public available text posted on twitter, bolgs and news.

• After cleaning the training data the most common uni/two/three/four-Grams were put in a separate organized dictionary.

• To save storage space - only the hash-value of the N-Gram were stored in the dictionary not the N-Gram it self

Number of suggested words and used N-Grams are configurable.

Model characteristics

• accuracy of 23% that the next word is predicted in the first 10 words
• Model contains 118,917 N-Grams stored in 573 kB
• 1.08ms response time per prediction
• It is not perfect but a appropiate basis.

Test it!

Shiny demo application is availible on here.