{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T18:42:50Z","timestamp":1649097770359},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"Suppl. 2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:p> Author profiling consists in determining some demographic attributes \u2014 such as gender, age, nationality, language, religion, and others \u2014 of an author for a given document. This task, which has applications in fields such as forensics, security, or marketing, has been approached from different areas, especially from linguistics and natural language processing, by extracting different types of features from training documents, usually content \u2014 and style-based features. <\/jats:p><jats:p> In this paper we address the problem by using several compression-inspired strategies that generate different models without analyzing or extracting specific features from the textual content, making them style-oblivious approaches. We analyze the behavior of these techniques, combine them and compare them with other state-of-the-art methods. We show that they can be competitive in terms of accuracy, giving the best predictions for some domains, and they are efficient in time performance. <\/jats:p>","DOI":"10.1142\/s0218488517400086","type":"journal-article","created":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T02:11:25Z","timestamp":1513735885000},"page":"5-20","source":"Crossref","is-referenced-by-count":2,"title":["Competitive Author Profiling Using Compression-Based Strategies"],"prefix":"10.1142","volume":"25","author":[{"given":"Francisco","family":"Claude","sequence":"first","affiliation":[{"name":"Universidad Diego Portales, Escuela de Inform\u00e1tica y Telecomunicaciones, Santiago, Chile"},{"name":"Sudo Technologies Inc., Menlo Park, California, USA"}]},{"given":"Daniil","family":"Galaktionov","sequence":"additional","affiliation":[{"name":"Universidade da Coru\u00f1a, Database Laboratory, Elvi\u00f1a, 15071, A Coru\u00f1a, Spain"}]},{"given":"Roberto","family":"Konow","sequence":"additional","affiliation":[{"name":"Universidad Diego Portales, Escuela de Inform\u00e1tica y Telecomunicaciones, Santiago, Chile"},{"name":"Universidad Diego Portales, Escuela de Inform\u00e1tica y Telecomunicaciones, Santiago, Chile, eBay Inc., San Jose, California, USA"}]},{"given":"Susana","family":"Ladra","sequence":"additional","affiliation":[{"name":"Universidade da Coru\u00f1a, Database Laboratory, Elvi\u00f1a, 15071, A Coru\u00f1a, Spain"}]},{"given":"\u00d3scar","family":"Pedreira","sequence":"additional","affiliation":[{"name":"Universidade da Coru\u00f1a, Database Laboratory, Elvi\u00f1a, 15071, A Coru\u00f1a, Spain"}]}],"member":"219","published-online":{"date-parts":[[2017,12,19]]},"reference":[{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.88.048702"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001415530043"},{"key":"p_6","first-page":"2673","volume":"7","author":"Bratko A.","year":"2006","journal-title":"J. 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Res."}],"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488517400086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:59:48Z","timestamp":1565132388000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488517400086"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":11,"journal-issue":{"issue":"Suppl. 2","published-online":{"date-parts":[[2017,12,19]]},"published-print":{"date-parts":[[2017,12]]}},"alternative-id":["10.1142\/S0218488517400086"],"URL":"https:\/\/doi.org\/10.1142\/s0218488517400086","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"value":"0218-4885","type":"print"},{"value":"1793-6411","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12]]}}}