Summary
Contents
Subject index
Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.
Text Mining, Text Analysis, and the Future of Social Science
Text Mining, Text Analysis, and the Future of Social Science
We have covered many topics in this book and in so doing have brought together ideas and techniques from the social sciences, humanities, and computer science. As we are not alone in seeking ways to integrate the social sciences more closely with computer science and related disciplines, in the remainder of this chapter we consider some of the different ways social scientists and computer scientists are working together to develop corpus-based and other types of digital research methods. While some social scientists have been working with computer scientists to develop digital versions of traditional research methods such as surveys, ethnographic interview techniques, and archival methods, others have been developing brand new research methods ...
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