{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T23:58:04Z","timestamp":1782172684294,"version":"3.54.5"},"reference-count":18,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2008,4,4]],"date-time":"2008-04-04T00:00:00Z","timestamp":1207267200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,4,4]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>To evaluate and extend, existing natural language processing techniques into the domain of informal online political discussions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>A database of postings from a US political discussion site was collected, along with self\u2010reported political orientation data for the users. A variety of sentiment analysis, text classification, and social network analysis methods were applied to the postings and evaluated against the users' self\u2010descriptions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Purely text\u2010based methods performed poorly, but could be improved using techniques which took into account the users' position in the online community.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>The techniques we applied here are fairly simple, and more sophisticated learning algorithms may yield better results for text\u2010based classification.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>This work suggests that social network analysis is an important tool for performing natural language processing tasks with informal web texts.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This research extends sentiment analysis to a new subject domain (US politics) and a new text genre (informal online discusssions).<\/jats:p><\/jats:sec>","DOI":"10.1108\/10662240810862239","type":"journal-article","created":{"date-parts":[[2008,4,12]],"date-time":"2008-04-12T07:10:49Z","timestamp":1207984249000},"page":"177-190","source":"Crossref","is-referenced-by-count":68,"title":["Taking sides: user classification for informal online political discourse"],"prefix":"10.1108","volume":"18","author":[{"given":"Robert","family":"Malouf","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tony","family":"Mullen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2022020619543352600_b1","doi-asserted-by":"crossref","unstructured":"Adamic, L. and Glance, N. (2005), \u201cThe political blogosphere and the 2004 US election: divided they blog\u201d, Proceedings of the WWW 2005 2nd Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics, Chiba, Japan.","DOI":"10.1145\/1134271.1134277"},{"key":"key2022020619543352600_b2","doi-asserted-by":"crossref","unstructured":"de Hoon, M.J.L., Imoto, S., Nolan, J. and Miyano, S. (2004), \u201cOpen source clustering software\u201d, Bioinformatics, Vol. 20, pp. 1453\u20104.","DOI":"10.1093\/bioinformatics\/bth078"},{"key":"key2022020619543352600_b3","doi-asserted-by":"crossref","unstructured":"Drineas, P., Krishnamoorthy, M., Sofka, M. and Yener, B. 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