Computer-aided content analysis: A short primer

Abstract

This paper is a short introduction to computer-aided content analysis in which words or phrases are the basic units. The advantages of computer-aided content analysis are noted and some general issues in its use discussed. Several ways of manipulating text by computer are then illustrated, including ordered word frequency lists, key-word-in-context lists, concordances, classifications of text in terms of content categories, category counts, and category-based retrievals from text. Although examples are based on Democratic and Republican platforms in presidential campaigns, these techniques can be applied to texts from a variety of sources, including in-depth and open-ended interviews, fieldnotes, letters, speeches, newspapers, books, and diaries, to cite a few examples.