Home Assignment: Sentiment Analysis Application

Description

This is a sentiment analysis application that allows users to analyze the sentiment of a given text. Your (imagined) customer has developed a new product that they are selling on their e-commerce website. The customer wants to get better insights into how their customers think about their product, so they are asking you to implement a Proof of Concept for a customer feedback form with sentiment analysis.

Requirements

• Implement a REST API, which takes text (up to 1000 characters) as input, calculates a sentiment of the text, and stores the results in a database.

• Implement a REST API, which returns saved customer text messages together with calculated sentiments.

• Implement a frontend application with a feedback form for the end customer and that displays existing feedback with sentiment to ADMIN users.

• Tech stacks:

  • Frontend: React or Nextjs, tailwindcss or chakraUI
  • Backend: Nodejs, express, PostgreSQL

Instructions

• Design, implement, and test your solution.

• Prepare a short, concise document (no presentation slides, 2 pages max) describing your solution (design, architecture, database structure if applicable).

• Send us the document and your implementation in a ZIP file (please, exclude binaries and dependencies)

• Your assignment is complete when you have a working solution that you can show to your customer.

Advice/Hints

• Since we already provide project backend infrastructure that contains user authentication and authorization, you should keep our codebase style and structure for this project.

• Consider using existing libraries or cloud services for calculating sentiment.

• Think of sentiment as simple classification (Good/Bad/Neutral).

• Target for simplicity. Don't overcommit to the task, we value your personal time.

• If you have any questions, don't hesitate to ask.

• If you manage to complete the task very fast, here are a couple of bonus tasks:

  • Integrate with blockchain as connecting with metamask using web3.js.

  • Deploy your solution to the cloud.

  • Implement engineering best practices (source control, CI/CD, infrastructure-as-a-code)