Opinion Mining

Deploy a Streamlit Dashboard you own this product

This project is part of the liveProject series End-to-End Deep Learning for Opinion Mining
basic pandas, API call, and GitHub/Git
skills learned
dashboard design • data visualization • integrating API call with a dashboard
Winnie Yeung and Eyan Yeung
1 week · 4-6 hours per week · INTERMEDIATE

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5, 10 or 20 seats+ for your team - learn more

Look inside

In this liveProject, you’ll build an interactive dashboard that will allow the marketing team at your company to monitor any mention of your company’s products on Reddit. You’ll start by visualizing relevant subreddit data, then build a model to monitor your mentions on Reddit. Finally, you’ll deploy the Streamlit dashboard on Heroku. Streamlit offers a simple and easy way to build a highly interactive and beautiful dashboard with just a few lines of codes, whilst Heroku offers free web hosting for data apps.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project authors

Man Wai Winnie Yeung
Winnie Yeung is a full-stack senior data scientist at Visa in the San Francisco Bay Area, working on developing and deploying risk-related machine learning solutions. She earned her master’s in analytics at Georgia Institute of Technology and has 3 years of experience working on natural language processing projects in the investment industry. She actively contributes to the open-source community by creating a neural machine translation package on PyPI, as well as giving talks at PyCon Hong Kong.
Eyan Yeung
Eyan Yeung, PhD is a full-stack data scientist in New Jersey using various machine learning models and data science techniques to fight adversarial abuse. She earned her PhD in molecular biology at Princeton University, having used unsupervised machine learning techniques and built mathematical models to analyze large-scale biological datasets. She has experience completing multiple end-to-end projects in image classification and natural language processing.


This liveProject is for confident Python programmers interested in taking their first steps into data analysis for marketing. To begin this liveProject you will need to be familiar with the following:

  • Basic pandas
  • Basic API call
  • Basic GitHub/Git
  • Basic data visualization

Note: The final milestone of this project uses Heroku to demo the completed app. Heroko incurs a cost. There is intermittent use, and the Eco option ($5) will be sufficient to get the app working as Eco covers 1000 hours, and we will be using far less than that for this project.

you will learn

In this liveProject, you’ll learn to build an interactive dashboard which is an essential final deliverable for data projects. You will learn to package insights you have accumulated in previous projects into one single product.

  • Dashboard design
  • Data visualization
  • Integrating API call with dashboard
  • Version control using GitHub
  • Deploy data apps and dashboards using Heroku


You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

choose your plan


only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
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  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Deploy a Streamlit Dashboard project for free