Name: Economic Terms in the News During the Great Recession: A Diachronic Sentiment and Collocational Analysis (en Inglés)
Price: 70.33 USD
Availability: InStock
Author: Gotti, Maurizio ; Fernández-Cruz, Javier ; Moreno-Ortiz, Antonio
ISBN: 9783034347785

portada Economic Terms in the News During the Great Recession: A Diachronic Sentiment and Collocational Analysis (en Inglés)

Economic Terms in the News During the Great Recession: A Diachronic Sentiment and Collocational Analysis (en Inglés)

Formato

Libro Físico

Autor

Antonio Moreno-Ortiz

Javier Fernández-Cruz

Ilustrado por

Maurizio Gotti

Editorial

Peter Lang Group Ag, International Academic P

Idioma

Inglés

N° páginas

192

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 1.4 cm

Peso

0.45 kg.

ISBN13

9783034347785

Categorías

Alemán
Enseñanza y aprendizaje de lenguas
Ciencia y análisis de datos: generalidades
Historia de la economía
Análisis y captura de datos

Economic Terms in the News During the Great Recession: A Diachronic Sentiment and Collocational Analysis (en Inglés)

Antonio Moreno-Ortiz (Autor) · Javier Fernández-Cruz (Autor) · Maurizio Gotti (Ilustrado por) · Peter Lang Group Ag, International Academic P · Tapa Dura

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Reseña del libro "Economic Terms in the News During the Great Recession: A Diachronic Sentiment and Collocational Analysis (en Inglés)"

This book explores the evolution of sentiment in economic terms in the press during financial crises applying a combination of sentiment analysis techniques and usage fluctuation analysis on a diachronic corpus derived from editorials in quality newspapers during the Great Recession. The book uncovers two key findings: first, certain economic terms become event words during times of crisis due to their increased use in the press and the general public, revealing rapid semantic changes in economic terms caused by major socio-economic events. Second, sentiment-laden collocations are found to be influenced by culture, highlighting language's adaptability to financial upheavals. This work proposes an innovative methodology that combines lexicon-based Sentiment Analysis, Corpus Linguistics, and qualitative Discourse Analysis to shed light on how language shapes economic discourse, making it a valuable resource for scholars exploring the relationship between language and historic events.