The Computational Content Analyst

Dublin Core

Title

The Computational Content Analyst

Subject

Communication Studies,
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

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.