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| 01852nam 2200289za 4500 |
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| 001 | 9.821005 |
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| 003 | CaOODSP |
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| 005 | 20240219183427 |
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| 007 | cr ||||||||||| |
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| 008 | 160713s2014 onc|||||o f000 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aD68-3/135-2014E-PDF|zD68-3/C135-2014E-PDF |
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| 100 | 1 |aRiordan, Brian. |
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| 245 | 10|aSocial identity information retrieval system (SIIRS) |h[electronic resource] : |bfinal report / |cby Brian Riordan. |
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| 260 | |a[Ottawa] : |bDefence Research and Development Canada, |cc2014. |
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| 300 | |avi, 40 p. : |bfigs, tables. |
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| 490 | 1 |aContract report ; |v2014-C135 |
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| 500 | |a"Submission Date: March 31, 2014." |
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| 504 | |aIncludes bibliographical references. |
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| 520 | |aDevelopment 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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| 692 | 07|2gccst|aTechnical reports |
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| 700 | 1 |aWade, Heather. |
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| 710 | 2 |aDefence R&D Canada. |
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| 710 | 2 |aAptima, Inc. |
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| 830 | #0|aContract report (Defence R&D Canada)|v2014-C135|w(CaOODSP)9.802312 |
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| 856 | 40|qPDF|s1.82 MB|uhttps://publications.gc.ca/collections/collection_2016/rddc-drdc/D68-3-C135-2014-eng.pdf |
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