{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T03:49:48Z","timestamp":1649216988655},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:00:00Z","timestamp":1634169600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,14]]},"abstract":"<jats:p>The task of automatic user profiling (in particular, determining their psychological parameters from their texts) in Social Networking Services (SNS) is of great practical importance in many fields (PR and marketing, advertising, politics, social relations and recommendations, etc.). However, this problems\u2019 solution is often complicated by the need to process large amounts of data and the inability to explain the results achieved. Our article presents a new extensible fuzzy classification method for social media user profiling based on preliminary expert analysis of the linguistic behavior of such users. The proposed method is akin to topic modelling, but is not computationally expensive (so it can be used for large-scale data \/ web text analysis) and produces results that are relatively easy to interpret. Comparison with the other methods presented in literature also testifies in favor of the approach. The profiling accuracy reaches 65\u201370% on a relatively small dataset for such kind of studies.<\/jats:p>","DOI":"10.3233\/faia210207","type":"book-chapter","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T21:53:47Z","timestamp":1634766827000},"source":"Crossref","is-referenced-by-count":0,"title":["Social Media User Profiling Based on Genre Extraction"],"prefix":"10.3233","author":[{"given":"Konstantin","family":"Belousov","sequence":"first","affiliation":[{"name":"Perm State University, Perm, Russia"}]},{"given":"Ivan","family":"Labutin","sequence":"additional","affiliation":[{"name":"Perm State University, Perm, Russia"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:40:38Z","timestamp":1635169238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210207"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210207","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,14]]}}}