{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T04:11:06Z","timestamp":1685419866087},"reference-count":0,"publisher":"National Library of Serbia","issue":"4","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>Latent Dirichlet Allocation (LDA) has been used to generate text corpora\n   topics recently. However, not all the estimated topics are of equal\n   importance or correspond to genuine themes of the domain. Some of the topics\n   can be a collection of irrelevant words or represent insignificant themes.\n   This paper proposed a topic-sensitive algorithm for multi-document\n   summarization. This algorithm uses LDA model and weight linear combination\n   strategy to identify significance topic which is used in sentence weight\n   calculation. Each topic is measured by three different LDA criteria.\n   Significance topic is evaluated by using weight linear combination to combine\n   the multi-criteria. In addition to topic features, the proposed approach also\n   considered some statistics features, such as term frequency, sentence\n   position, sentence length, etc. It not only highlights the advantages of\n   statistics features, but also cooperates with topic model. The experiments\n   showed that the proposed algorithm achieves better performance than the other\n   state-of-the-art algorithms on DUC2002 corpus.<\/jats:p>","DOI":"10.2298\/csis140815060n","type":"journal-article","created":{"date-parts":[[2015,11,2]],"date-time":"2015-11-02T16:39:25Z","timestamp":1446482365000},"page":"1375-1389","source":"Crossref","is-referenced-by-count":0,"title":["Topic-sensitive multi-document summarization algorithm"],"prefix":"10.2298","volume":"12","author":[{"given":"Liu","family":"Na","sequence":"first","affiliation":[{"name":"Dalian Polytechnic University, School of Information Science & Engineering, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tang","family":"Di","sequence":"additional","affiliation":[{"name":"Liaoning Normal University, School of Computer and Information Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Ying","sequence":"additional","affiliation":[{"name":"Dalian Polytechnic University, School of Information Science & Engineering, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tang","family":"Xiao-Jun","sequence":"additional","affiliation":[{"name":"Dalian Polytechnic University, School of Information Science & Engineering, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang","family":"Hai-Wen","sequence":"additional","affiliation":[{"name":"Dalian Polytechnic University, School of Information Science & Engineering, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:32:41Z","timestamp":1685349161000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141500060N"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.2298\/csis140815060n","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}