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.
Metaphor Analysis
Metaphor Analysis
Learning Objectives
The goals of Chapter 9 are to help readers do the following:
- Understand the principles of cognitive metaphor theory.
- Learn qualitative techniques for analyzing metaphorical language.
- Learn about partially and fully automated methods for identifying and analyzing metaphors in large text collections.
In this chapter, we review text analysis techniques that focus on metaphor. Much like narrative analysis, metaphor analysis techniques are used to gain insights into the divergent ways individuals and social groups come to interpret the social world. Whether taking the form of metaphor, analogy, simile, or synecdoche, metaphorical language involves figures of speech that make implicit comparisons in which a word or phrase ordinarily used in one domain is applied in another. While metaphor has long been a topic of literary ...
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