Opinion Mining

Web-scraping for Text Threads you own this product

This project is part of the liveProject series End-to-End Deep Learning for Opinion Mining
prerequisites
intermediate Python • basics of Jupyter Notebook and NumPy
skills learned
clean and filter for necessary data from JSON • save data into MongoDB in an organized manner • query the database for simple analytic tasks
Winnie Yeung and Eyan Yeung
1 week · 4-6 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series End-to-End Deep Learning for Opinion Mining liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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Look inside

In this liveProject, you’ll harvest customer opinions about your company’s products from the comments left on the subreddit for your company, and store them in a database for future analysis. You’ll connect to the Reddit API, identify and clean up the data fields you need, and store the data into MongoDB.

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.

prerequisites

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:


TOOLS
  • Intermediate Python
  • Basics of Jupyter Notebook
  • Basic NumPy
TECHNIQUES
  • Basics of databases

you will learn

In this liveProject, you’ll master useful data extraction tools, build pipelines, and perform basic queries.


  • Learn how to read documentation
  • Connect to an API and only extract the data you need
  • Clean/filter for necessary data from JSON
  • Save data into MongoDB in an organized manner
  • Query the database for simple analytic tasks

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
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Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
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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.
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