01506nam a22002297a 4500 20260721122818.0 260721s2025 |||||||| |||| 00| 0 eng d 9781032846309 PK-LaUMT 401.40285 VAR-C Vargo, Chris J. 13910 The computational content analyst : using machine learning to classify media messages / Chris J. Vargo New York : Routledge, 2025 ix, 133 p. Includes bibliographical references and index. 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. By reading this book, you should leave with an understanding of how to select the best computational content analysis methodology to your needs for the data and problem you have. Eng Content analysis 13911 Data processing Machine learning BK 141536 141536 0 0 0 0 01 01 2026-07-21 0 401.40285 VAR-C 153481 2026-07-21 12:28:06 2026-07-21 BK