The Computational Content Analyst - Using Machine Learning to Classify Media Messages

Most digital content, whether it be thousands of news articles, or millions of social media posts, are too large for the naked eye alone. Often, the advent of immense data sets requires a more productive approach to labelling 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 away of computer-based classification approaches, focusing on easy-to-understand methodological explanations and best practices to ensure that your data is being labelled 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.

This guide gives researchers the tools they need to amplify their analytical reach through the integration of content analysis with computational classifica