Mining Social Media
Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories.
Learn how to:
- Write Python scripts and use APIs to gather data from the social web;
- Download data archives and dig through them for insights;
- Inspect HTML downloaded from websites for useful content;
- Format, aggregate, sort, and filter your collected data using Google Sheets;
- Create data visualizations to illustrate your discoveries;
- Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library;
- Apply what you've learned to research topics on your own;
Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
Table of contents
- Data Mining
- The Programming Languages You'll Need to Know
- Where to Get Your Data
- Getting Data with Code
- Scraping Your Own Facebook Data
- Scraping a Live Site
- Data Analysis
- Introduction to Data Analysis
- Visualizing Your Data
- Advanced Tools for Data Analysis
- Finding Trends in Reddit Data
- Measuring the Twitter Activity of Political Actors
- Where to Go from Here
| Pages : | 208 |
| Size : | |
| File type : | |
| Downloads: | 55 |
| Created: | 2022-02-03 |
| License: | All rights reserved |
| Author(s): | Lam Thuy Vo |
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