{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:09:50Z","timestamp":1761664190082},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:00:00Z","timestamp":1606867200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In recent times, comparative opinion mining applications have attracted both individuals and business organizations to compare the strengths and weakness of products. Prior works on comparative opinion mining have focused on applying a single classifier, limited comparative opinion labels, and limited dataset of product reviews, resulting in degraded performance for classifying comparative reviews. In this work, we perform multi-class comparative opinion mining by applying multiple machine learning classifiers using an increased number of comparative opinion labels (9 classes) on 4 datasets of comparative product reviews. The experimental results show that Random Forest classifier has outperformed the comparing algorithms in terms of improved accuracy, precision, recall and f-measure.<\/jats:p>","DOI":"10.1515\/comp-2020-0148","type":"journal-article","created":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T08:16:24Z","timestamp":1607156184000},"page":"461-477","source":"Crossref","is-referenced-by-count":11,"title":["Applying Machine Learning Techniques for Performing Comparative Opinion Mining"],"prefix":"10.1515","volume":"10","author":[{"given":"Umair","family":"Younis","sequence":"first","affiliation":[{"name":"Institute of Computing and Information Technology, Gomal University, D.I. Khan (KP), Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Zubair","family":"Asghar","sequence":"additional","affiliation":[{"name":"Institute of Computing and Information Technology, Gomal University, D.I. Khan (KP), Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adil","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Peshawar, Peshawar, KP, Pakistan; School of Computer Science, SZIC, University of Peshawar, Peshawar, KP, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alamsher","family":"Khan","sequence":"additional","affiliation":[{"name":"Institute of Computing and Information Technology, Gomal University, D.I. Khan (KP), Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javed","family":"Iqbal","sequence":"additional","affiliation":[{"name":"Institute of Computing and Information Technology, Gomal University, D.I. Khan (KP), Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nosheen","family":"Jillani","sequence":"additional","affiliation":[{"name":"Institute of Computing and Information Technology, Gomal University, D.I. Khan (KP), Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","container-title":["Open Computer Science"],"original-title":[],"link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/comp\/10\/1\/article-p461.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/downloadpdf\/journals\/comp\/10\/1\/article-p461.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,28]],"date-time":"2021-02-28T03:22:45Z","timestamp":1614482565000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/comp-2020-0148\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,2]]},"references-count":0,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1515\/comp-2020-0148","relation":{},"ISSN":["2299-1093"],"issn-type":[{"value":"2299-1093","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,2]]}}}