Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

© Manuel Amunategui, Mehdi Roopaei 2018

Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_11

11. Simplifying Complex Concepts with NLP and Visualization on Azure

Manuel Amunategui¹  and Mehdi Roopaei²

(1)

Portland, Oregon, USA

(2)

Platteville, Wisconsin, USA

 

Let's build a simple interactive dashboard to understand the cost of eliminating spam messages using natural language processing on Microsoft Azure.

In this chapter, we will use natural language processing (NLP) on the classic SMS Spam Collection Dataset. We will classify text messages as either ham or spam (i.e., intended messages vs. advertisements) using feature engineering, term frequency–inverse document frequency (TFIDF) and random forests ...