00000nam 2200000za 4500 9.821005 CaOODSP 20240219183427 cr ||||||||||| 160713s2014 onc|||||o f000 0 eng d CaOODSP eng n-cn--- D68-3/135-2014E-PDF D68-3/C135-2014E-PDF Riordan, Brian. Social identity information retrieval system (SIIRS) [electronic resource] : final report / by Brian Riordan. [Ottawa] : Defence Research and Development Canada, c2014. vi, 40 p. : figs, tables. Contract report ; 2014-C135 "Submission Date: March 31, 2014." Includes bibliographical references. 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. gccst Technical reports Wade, Heather. Defence R&D Canada. Aptima, Inc. Contract report (Defence R&D Canada) 2014-C135 (CaOODSP)9.802312 PDF 1.82 MB https://publications.gc.ca/collections/collection_2016/rddc-drdc/D68-3-C135-2014-eng.pdf