How to use large-language models for text analysis / Petter Törnberg.

Format:

Book

Author/Creator:

Törnberg, Petter, author.

Language:

English

Subjects (All):

Text data mining--Case studies.

Text data mining.

Populism in mass media--Research--Case studies.

Populism in mass media.

Physical Description:

1 online resource

Place of Publication:

London : SAGE Publications Ltd, 2024.

Summary:

This guide introduces large-language models (LLM) as a highly versatile text-analysis method within the social sciences. As LLMs are easy to use, cheap, fast, and applicable to a broad range of text-analysis tasks, ranging from text annotation and classification to sentiment analysis and critical discourse analysis. Many scholars believe that LLMs will transform how we do text analysis. This how-to guide is aimed at students and researchers with limited programming experience and offers a simple introduction to how LLMs can be used for text analysis in your own research project, as well as how to think about LLMs as a research method, and advice on best practices. I go through each of the steps of analyzing textual data with LLMs using Python: installing the software, setting up the application programming interface (API), loading the data, developing an analysis prompt, analyzing the text, and validating the results. As an illustrative example, I will use the challenging task of identifying populism in political texts and show how LLMs move beyond the existing state of the art.

Notes:

Description based on XML content.

ISBN:

1-5296-8370-X

9781529683707

OCLC:

1418723285