A simple classifier which classifies text messages as Spam or Ham using some basic NLP and fitting a Naive Bayes classifier. It also compares 3 classification algorithms i.e Naive bayes, SVM and K-NN as well. So the best performance obtained was by the Naive bayes classifier which gave the auc value as 0.97.
The report and the pdf version of the Rmarkdown file can be used to get the project details and the R code - Report.
Below are the links to the deployed application in which the Naive bayes classifier is deployed using Shiny in R.
Web Application-https://anishsingh.shinyapps.io/text_classification_app/
Project Report-http://rpubs.com/anish20/TextClassification
