Difference between revisions of "Park et al CSCW 2011. The Politics of Comments: Predicting Political Orientation of News Stories with Commenters’ Sentiment Patterns"
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== Online Version == | == Online Version == | ||
[http://nclab.kaist.ac.kr/papers/Conference/politics_of_comments.pdf Online Pdf] | [http://nclab.kaist.ac.kr/papers/Conference/politics_of_comments.pdf Online Pdf] | ||
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+ | == Summary == | ||
+ | This [[Category::Paper]] studies the influence of [http://en.wikipedia.org/wiki/Demography demography] over language. In other words, it tries to identify the lexical variations with respect to certain demographic attributes (race or ethnicity, socioeconomic status, language spoken etc). Modelling [http://en.wikipedia.org/wiki/Sociolinguistics sociolinguistic] association is a complex problem because of the large number of possible interactions involved. Using multi-output regression with structured sparsity, this method identifies a small subset of words that are most influenced by demographics and also discovers sets of demographic attributes that influence variation in lexical items. |
Revision as of 16:39, 1 October 2012
Citation
Souneil Park, Minsam Ko, Jungwoo Kim, Ying Liu, and Junehwa Song.“The Politics of Comments: Predicting Political Orientation of News Stories with Commenters’ Sentiment Patterns”, in Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work (CSCW 2011).
Online Version
Summary
This Paper studies the influence of demography over language. In other words, it tries to identify the lexical variations with respect to certain demographic attributes (race or ethnicity, socioeconomic status, language spoken etc). Modelling sociolinguistic association is a complex problem because of the large number of possible interactions involved. Using multi-output regression with structured sparsity, this method identifies a small subset of words that are most influenced by demographics and also discovers sets of demographic attributes that influence variation in lexical items.