{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:11:33Z","timestamp":1775837493068,"version":"3.50.1"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T00:00:00Z","timestamp":1598313600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Islamia College, Peshawar"},{"DOI":"10.13039\/501100004681","name":"Higher Education Commission, Pakistan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004681","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,8,25]]},"abstract":"<jats:p>Huge data on the web come from discussion forums, which contain millions of threads. Discussion threads are a valuable source of knowledge for Internet users, as they have information about numerous topics. The discussion thread related to single topic comprises a huge number of reply posts, which makes it hard for the forum users to scan all the replies and determine the most relevant replies in the thread. At the same time, it is also hard for the forum users to manually summarize the bulk of reply posts in order to get the gist of discussion thread. Thus, automatically extracting the most relevant replies from discussion thread and combining them to form a summary are a challenging task. With this motivation behind, this study has proposed a sentence embedding based clustering approach for discussion thread summarization. The proposed approach works in the following fashion: At first, word2vec model is employed to represent reply sentences in the discussion thread through sentence embeddings\/sentence vectors. Next, K-medoid clustering algorithm is applied to group semantically similar reply sentences in order to reduce the overlapping reply sentences. Finally, different quality text features are utilized to rank the reply sentences in different clusters, and then the high-ranked reply sentences are picked out from all clusters to form the thread summary. Two standard forum datasets are used to assess the effectiveness of the suggested approach. Empirical results confirm that the proposed sentence based clustering approach performed superior in comparison to other summarization methods in the context of mean precision, recall, and <jats:italic>F<\/jats:italic>-measure.<\/jats:p>","DOI":"10.1155\/2020\/4750871","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T23:31:31Z","timestamp":1598398291000},"page":"1-11","source":"Crossref","is-referenced-by-count":13,"title":["Sentence Embedding Based Semantic Clustering Approach for Discussion Thread Summarization"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3628-0262","authenticated-orcid":true,"given":"Atif","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Computer Science, Islamia College Peshawar, Peshawar, KP, Pakistan"}]},{"given":"Qaiser","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Islamia College Peshawar, Peshawar, KP, Pakistan"}]},{"given":"M. Irfan","family":"Uddin","sequence":"additional","affiliation":[{"name":"Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6167-5253","authenticated-orcid":true,"given":"Fasee","family":"Ullah","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China"}]},{"given":"Abdullah","family":"Alharbi","sequence":"additional","affiliation":[{"name":"Department of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia"}]},{"given":"Hashem","family":"Alyami","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7277-7738","authenticated-orcid":true,"given":"Muhammad Adnan","family":"Gul","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Islamia College Peshawar, Peshawar, KP, Pakistan"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0215516"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2007.09.007"},{"issue":"3","key":"5","first-page":"649","volume":"21","year":"2012","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"6","volume-title":"A survey on automatic text summarization","year":"2007"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.4304\/jetwi.2.3.258-268"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.05.001"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1177\/0165551507077406"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1007\/s11518-009-5100-7"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.2478\/cait-2012-0011"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.030"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5130603"},{"key":"33","year":"1999"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1023\/a:1009930203452"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0194-2"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-012-0143-x"},{"issue":"15","key":"41","doi-asserted-by":"crossref","first-page":"6904","DOI":"10.1016\/j.eswa.2014.04.004","volume":"41","year":"2014","journal-title":"Expert Systems with Applications"},{"key":"45","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.045"},{"key":"47","doi-asserted-by":"publisher","DOI":"10.1017\/s135132491000001x"},{"key":"56","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1523"},{"key":"58","year":"1995"},{"key":"61","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(84)90020-7"},{"key":"62","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2002.1017616"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/4750871.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/4750871.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/4750871.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T23:31:37Z","timestamp":1598398297000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2020\/4750871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,25]]},"references-count":22,"alternative-id":["4750871","4750871"],"URL":"https:\/\/doi.org\/10.1155\/2020\/4750871","relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,25]]}}}