[1] 2
Welcome to my text prediction project presentation. This is a word suggestion app that is built to predict or suggest the next as you are typing a sentence in a text box based on the commonly used words or phrases by Swiftkey on news, blogs and tweets.
This app is built in R and has been deployed on Shiny web app for easy access and sharing by others. To access the app please visit this URL https://wmwabumba.shinyapps.io/text_predictor_in_r/.
This app was developed as part of my final project product in my MSc. data science capstone on Coursera.
Below are the instructions you need to understand before you can use the app:
During the project I used GitHub to better manage my code and version releases:
I set my repository to public so that others can also learn and benefit from this text prediction app in R
To review or clone my project, please visit this git repository: https://github.com/wmwabumba/text-predictor-in-R/
My Contact Details:
Email: winm14@gmail.com
LinkedIn: https://www.linkedin.com/in/winston-mwabumba-83290571/
Thank you to everyone who helped me successfully complete my project. It has not been easy, but your emotional and technical support has been invaluable.
Special thanks to my family and friends for their unwavering belief in me, providing the strength and motivation needed to push through the challenging moments. Your insightful feedback and collaborative spirit were instrumental in refining my work.
Thank you all for being part of this journey!!!
[1] 2