Predicting The Next Word

• The goal of this project is to create an algorithm to predict the next word based on the previous word(s) typed by the user.

• I have used 3 databases of english sentences extracted from news, blogs and twitter.

• At first, I built the relationship between words. Then, I employed exploratory analysis to build an n-gram model for predicting the next word based on the previous 1, 2, or 3 words.

• All text mining and natural language processing was done using various R packages.

• I built a basic n-gram model with the natural language processing (NLP) which can be accessed by clicking on the link

  http://rpubs.com/abhijitjantre/NgramModelWithNaturalLanguageProcessingNLP

• Subsequently, I created R code for predicting the next word.

• I have then created ngram and used it in conjuction with the R code for predicting the next word.

• Finally, I deployed the application on shinywebserver.

  https://abhijitjantre.shinyapps.io/Final/

The user types the word/phrase/text and clicks on the button named 'Submit For Prediction'. Subsequently, three outcomes appear on the right hand panel of the screen namely

• Cleaned Text
• First Best Prediction
• Second Best Prediction

References

• http://en.wikipedia.org/wiki/N-gram
• https://class.coursera.org/dsscapstone-002

My App Publications

• On Shiny Apps : https://abhijitjantre.shinyapps.io/Final/
• Code On Git Hub : https://github.com/abhijitjantre/DataScienceCapstoneProject