Language selection

Search


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.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.821005&sl=0

Publication information
Department/Agency
  • Defence R&D Canada.
  • Aptima, Inc.
TitleSocial identity information retrieval system (SIIRS) : final report / by Brian Riordan.
Series title
  • Contract report ; 2014-C135
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • "Submission Date: March 31, 2014."
  • Includes bibliographical references.
Publishing information
  • [Ottawa] : Defence Research and Development Canada, c2014.
Author / Contributor
  • Riordan, Brian.
  • Wade, Heather.
Descriptionvi, 40 p. : figs, tables.
Catalogue number
  • D68-3/135-2014E-PDF
Subject terms
Request alternate formats
To request an alternate format of a publication, complete the Government of Canada Publications email form. Use the form’s “question or comment” field to specify the requested publication.

Page details