The shapes of stories : sentiment analysis for narrative / Katherine Elkins.

Format:

Book

Author/Creator:

Elkins, Katherine L., author.

Series:

Cambridge elements. Elements in digital literary studies 2633-4399.

Cambridge elements. Elements in digital literary studies, 2633-4399

Language:

English

Subjects (All):

Criticism--Data processing.

Criticism.

Sentiment analysis.

Physical Description:

1 online resource (115 pages) : digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2022.

System Details:

Mode of Access: World Wide Web.

Summary:

Sentiment analysis has gained widespread adoption in many fields, but not-until now-in literary studies. Scholars have lacked a robust methodology that adapts the tool to the skills and questions central to literary scholars. Also lacking has been quantitative data to help the scholar choose between the many models. Which model is best for which narrative, and why? By comparing over three dozen models, including the latest Deep Learning AI, the author details how to choose the correct model-or set of models-depending on the unique affective fingerprint of a narrative. The author also demonstrates how to combine a clustered close reading of textual cruxes in order to interpret a narrative. By analyzing a diverse and cross-cultural range of texts in a series of case studies, the Element highlights new insights into the many shapes of stories.

Notes:

Title from publisher's bibliographic system (viewed on 25 Jul 2022).

Other Format:

Print version:

ISBN:

9781009270403 (ebook)

Access Restriction:

Restricted for use by site license.