Work

Automated Content Analysis

Year: 2022

Type: book-chapter

Abstract: Due to the rise in processing power, advancements in machine learning, and the availability of large text corpora online, the use of computational methods including automated content analysis has rapidly increased. Automated content analysis is applied and developed across disciplines such as computer science, linguistics, political science, economics and – increasingly – communication science. This chapter offers a theoretical and applied introduction to the method, including promises and pitfalls associated with the method.

Source: Springer eBooks

DOI: 10.1007/978-3-658-36179-2_3

Author: Valerie Hase

Institution: Ludwig-Maximilians-Universität München

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

OpenAlex ID: W4297922630