株式会社極東書店トップ商品一覧Appraisal, Sentiment and Emotion Analysis in Political Discourse : A Multimodal, Multi-method Approach.

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Appraisal, Sentiment and Emotion Analysis in Political Discourse

Appraisal, Sentiment and Emotion Analysis in Political Discourse : A Multimodal, Multi-method Approach.

・ISBN 978-1-032-21420-7 2023 hard GB£ 171.99

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・ISBN 978-1-032-21421-4 2025 paper GB£ 47.99

¥15,203.- (税込) (※)価格はご注文時の参考価格となります。
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-003-26834-5

著者・編者Combei, Claudia Roberta / Reggi, Valeria,
シリーズRoutledge Studies in Multimodality
出版社(Routledge, UK)
出版年月2023.11
ページ数170 pp.
言語ENG
ニュース番号<705-1712 705-798>

解説

This book adopts a multi-method multimodal approach to the study of online political communication, applying it to case studies from the United Kingdom, France, and Italy towards offering a portrait of the rapid ideological shifts in contemporary Western democracies.

The volume introduces an integrated framework combining Sentiment and Emotion Analysis, rooted in lexical semantics, and the qualitative dimensions of Appraisal Theory, applying it to large corpora of online political communication from the United Kingdom, France, and Italy. Combei and Reggi highlight their combined potential in analysing the multimodal resources in such discourses and in turn revealing fresh insights into layers of subtext and the ways in which parties and movements frame their political programmes and values. The authors also take into account culture- and language-specific variables across the three countries in shaping such discourses. The volume makes the case for an integrated methodological framework that can be uniquely applied to better understand the multimodal communicative landscape of divisiveness in today's rapidly shifting political climate and other forms of online communication more broadly.

This book will be of interest to students and scholars in digital communication, political communication, multimodality, and qualitative and quantitative discourse analysis, especially those interested in corpus-assisted approaches.