The Computational Content Analyst
Dublin Core
Title
The Computational Content Analyst
Subject
Communication Studies,
Media studies,
Research methods
Media studies,
Research methods
Description
Most digital content, whether it be thousands of news articles or millions of social media posts, is too large for the naked eye alone. Often, the advent of immense datasets requires a more productive approach to labeling media beyond a team of researchers. This book offers practical guidance and Python code to traverse the vast expanses of data—significantly enhancing productivity without compromising scholarly integrity. We’ll survey a wide array of computer-based classification approaches, focusing on easy-to-understand methodological explanations and best practices to ensure that your data is being labeled accurately and precisely.
Creator
Chris J. Vargo
Source
https://library.oapen.org/bitstream/handle/20.500.12657/103064/9781040227176.pdf?sequence=1
Publisher
Taylor & Francis
Date
2024
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Chris J. Vargo, “The Computational Content Analyst,” Open Educational Resource (OER) - USK Library, accessed August 3, 2026, https://oer.usk.ac.id/items/show/9981.

