Mining Media Topics Perceived as Social Problems by Online Audiences: Use of a Data Mining Approach in Sociology
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References listed on IDEAS
- Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
- Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(03), pages 267-297, June.
- Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
- Kevin Wallsten, 2007. "Agenda Setting and the Blogosphere: An Analysis of the Relationship between Mainstream Media and Political Blogs," Review of Policy Research, Policy Studies Organization, vol. 24(6), pages 567-587, November.
More about this item
Keywordssocial problem; online media; topic modeling; sentiment analysis; Russia;
- Z - Other Special Topics
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2017-05-21 (All new papers)
- NEP-CUL-2017-05-21 (Cultural Economics)
- NEP-MKT-2017-05-21 (Marketing)
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