Text-Ease

Text-Ease, an app which predicts the next word in a sentence and provide the user with 3 possible options to choose from.

Link to the app - Text-Ease

Link to the Slide-Deck - Text-Ease Slide Deck

Data was made available as part of JHU Data Science Capstone Course in collaboration with Microsoft Swiftkey and can be downloaded from here

References^1–6

1. Leek J, Peng RD, Caffo B, Cross S, SwiftKey. Data science capstone course. https://www.coursera.org/learn/data-science-project/supplement/4phKX/about-the-corpora

2. Silge J, Robinson D. Text Mining with r. O’Reilly Media; 2017.

3. Hvitfeldt E, Silge J. Tokenization. In: Supervised Machine Learning for Text Analysis in r. Chapman; Hall/CRC; 2021:9-36. doi:10.1201/9781003093459-3

4. Manning CD, Raghavan P, Schütze H. Introduction to Information Retrieval. Cambridge University Press; 2008. doi:10.1017/cbo9780511809071

5. Chen SF, Goodman J. An empirical study of smoothing techniques for language modeling. Computer Speech & Language. 1999;13(4):359-393. doi:10.1006/csla.1999.0128

6. Jurafsky D, Martin JH. Speech & Language Processing. Pearson Education India; 2000.

Directories and Files in the repository

• R : A sub-directory to store all the raw R scripts and R markdown files used to create the report
  • download.R : File to define function fro downloading the data
  • eda.R : File meant for the author, contains all the rough exploratory data analysis done
  • kgrams_model.R : Very slow model built using kgrams R package
  • milestone_report.Rmd : Raw Rmarkdown file for the Milestone report describing data cleaning steps and exploratory data analysis
  • mkn_model.R : Code which was used behind the final model used in the app
  • quiz1.R : Code used to answer 1st week quiz questions
  • tidyData.R : Preliminary data cleaning steps
• data : A sub-directory to store the raw data used for the project.
• results : A sub-directory to store the Milestone Report as an HTML file. A markdown version of the file and a figures sub-directory containing all the figures used in the report in PNG format can also be found here. HTML version of the Slide-Deck is also stored here