TextPredictor!

Megan Williams
April 25th, 2015

Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interations between computers and human (natural) languages.
As such, NLP is related to the area of human–computer interaction.
The goal of the Data Science Specialization Capstone Project is to create an application that can facilitate this interaction through text prediction

The TextPredictor! application uses a predictive text algorithm to predict what word is likely to come next based on the user input.
The TextPredictor! application employs the Kneser-ney smoothing method, which is primarily used to calculate the probability distribution of n-grams in a document based on their histories. It is widely considered the most effective method of smoothing due to its use of absolute discounting by subtracting a fixed value from the probabilitys lower order terms to omit n-grams with lower frequencies.

TextPredictor! is easy to use

First, type the word or sentence of your choosing in the top left panel
Then, select how many words you would like for this app to predict for you
Finally, click “submit”. BE PATIENT. This process may take up to 60 seconds
NOTE: If you do not input text, or if you input text that is not present at least 5 times in the datasets used to create this application, then you will get a warning message asking you to choose a different word or phrase.