Introduction

Prepared by Michal Maciejewski, PhD

Review Sentiment Prediction

Alice would like to develop her first machine learning model to predict a sentiment (either positive or negative) of a movie review. She would like to share the model with her friend Bob, who is a big fan of cinema. With the model he will be able to skim through large databases of movie reviews and find out happy and sad movies. However, being a seasoned Java developer he does not know Python. He does know REST API and Docker, though. In the course of the exercise we will help Alice with building a small feed-forward neural network to classify reviews. In fact, the model plays a secondary role here. The focus is on putting into practice the core concept learned during the lecture.

Objectives

We will walk through the ML pipeline and put our learning into practice.

Outline

During this exercise session we will look into:

1. Data Engineering and Modelling - 45 minutes

2. Local Model Deployment - 45 minutes

Let’s get started!