{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T05:17:01Z","timestamp":1736227021417,"version":"3.32.0"},"reference-count":0,"publisher":"Astana IT University","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SJAITU"],"abstract":"<jats:p>The growth of data in social networks facilitate demand for data analysis. The field  of event detection is of increasing interest to researchers. Events from real life are actively  discussed in the virtual space. Event detection results can be used in a variety of applications,  from digital marketing to collecting data about natural disasters. Thereby, researchers face the  emergence of new algorithms along with the improvement of existing solutions in the event  detection field. This paper proposes improvements to the SEDTWik (Segment-based Event  Detection from Tweets using Wikipedia) algorithm. The SEDTWik algorithm is designed to  detect events without contextual guidance. The overall SEDTWik detection process excludes  the perspective of a topic, or multi-topic, guided (or semi-supervised) event detection  approach. As a result, some interesting narrowly focused events are not detected as they are  weakly relevant in a broader context (e.g., Wikipedia) although acquiring relevance within a  conditioned context. Therefore, there is a need for an adaptive perspective where data is to  be analysed against a set of narrower topics of interest. This paper shows that SEDTWik gains  expressive power after being extended with multi-topic semi-supervision. The evaluation of  the current proposal uses the well-known corpora with labeled events, Events2012. In the  Events2012 dataset used notation category for events, meaning that events are combined  by a certain topic. SEDTWik with topic dictionaries was checked across all categories. In the  main part of the article, it is also explained the process of topic dictionary construction from  Events2012 labeled tweets. At this stage of the research, in all tasks unigrams were used.  SEDTWik with dictionaries showed improved accuracy, and more events were found within a  certain category.<\/jats:p>","DOI":"10.37943\/tsyv3590","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T04:21:21Z","timestamp":1659414081000},"page":"89-96","source":"Crossref","is-referenced-by-count":1,"title":["PARAMETRIZED EVENT ANALYSIS FROM SOCIAL NETWORKS"],"prefix":"10.37943","volume":"10","author":[{"name":"Al-Farabi Kazakh National University, Kazakhstan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7043-0810","authenticated-orcid":false,"given":"A.","family":"Mussina","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8416-527X","authenticated-orcid":false,"given":"S.","family":"Aubakirov","sequence":"additional","affiliation":[]},{"name":"Al-Farabi Kazakh National University, Kazakhstan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5850-615X","authenticated-orcid":false,"given":"P.","family":"Trigo","sequence":"additional","affiliation":[]},{"name":"ISEL - Instituto Superior de Engenharia de Lisboa; GulAA; LASIGE,  Faculdade de Ci\u00eancias, Universidade de Lisboa, Portugal","sequence":"additional","affiliation":[]}],"member":"24974","published-online":{"date-parts":[[2022,6,30]]},"container-title":["Scientific Journal of Astana IT University"],"original-title":[],"link":[{"URL":"https:\/\/journals.indexcopernicus.com\/api\/file\/viewByFileId\/1641434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T11:14:20Z","timestamp":1736162060000},"score":1,"resource":{"primary":{"URL":"https:\/\/journal.astanait.edu.kz\/index.php\/ojs\/article\/view\/33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,30]]},"references-count":0,"URL":"https:\/\/doi.org\/10.37943\/tsyv3590","relation":{},"ISSN":["2707-9031","2707-904X"],"issn-type":[{"type":"print","value":"2707-9031"},{"type":"electronic","value":"2707-904X"}],"subject":[],"published":{"date-parts":[[2022,6,30]]}}}