chrisbombino / cs631-project

Project for CS 631 at University of Waterloo W2021

CS 631 Course Project

University of Waterloo W2021

Overview

The goal of this project is to analyze user sentiments towards a number of products and companies using both historical and real time tweets. The data will be streamed using Kafka, analyzed using NLP/Deep Learning methods, stored in Elasticsearch, and then analyzed in a Kibana dashboard.

Learning Outomces

• General Kafka architecture - topics, producers, consumers
• Applying natural language processing and deep learning to perform sentiment analysis of text data
• Indexing and retrieving data in Elasticsearch
• Developing dashboards with Kibana
• Running everything on AWS EC2
• Automating the process with Terraform

System Architecture

Kibana Dashboard Output