Social identity information retrieval system (SIIRS) : final report / by Brian Riordan. : D68-3/135-2014E-PDF

Development of the SIIRS system focused on the specific problem of detecting and classifying sociostructural beliefs from Social Identity Theory -- beliefs about the legitimacy, stability, and permeability of social groups and their status. A dataset of social media comments centering on the issue of income inequality was collected and analyzed, and a system was built to classify implicit author beliefs on the legitimacy of class-based income disparity. Because of the heavily implicit nature of sociostructural belief expression, the detection problem was formulated as a form of text classification. The SIIRS system achieved classification accuracies competitive with results from similar tasks in social media analysis, demonstrating the feasibility of the approach.

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publications.gc.ca/pub?id=9.821005&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Defence R&D Canada.
Aptima, Inc.
Titre Social identity information retrieval system (SIIRS) : final report / by Brian Riordan.
Titre de la série Contract report ; 2014-C135
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "Submission Date: March 31, 2014."
Includes bibliographical references.
Information sur la publication [Ottawa] : Defence Research and Development Canada, c2014.
Auteur / Contributeur Riordan, Brian.
Wade, Heather.
Description vi, 40 p. : figs, tables.
Numéro de catalogue
  • D68-3/135-2014E-PDF
Descripteurs Technical reports
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