{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:28:02Z","timestamp":1777854482367,"version":"3.51.4"},"reference-count":58,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T00:00:00Z","timestamp":1549411200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100004883","name":"shahrekord university","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004883","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:p>Opinion mining is a subfield of data mining and natural language processing that concerns with extracting users\u2019 opinion and attitude towards products or services from their comments on the Web. Persian opinion mining, in contrast to its counterpart in English, is a totally new field of study and hence, it has not received the attention it deserves. Existing methods for opinion mining in the Persian language may be classified into machine learning\u2013 and lexicon-based approaches. These methods have been proposed and successfully used for polarity-detection problem. However, when they should be used for more complex tasks like rating prediction, their results are not desirable. In this study, first an exhaustive investigation of machine learning\u2013 and lexicon-based methods is performed. Then, a new hybrid method is proposed for rating-prediction problem in the Persian language. Finally, the effect of machine learning component, feature-selection method, normalisation method and combination level are investigated. The experimental results on a large data set containing 16,000 Persian customers\u2019 review show that this proposed system achieves higher performance in comparison to Na\u00efve Bayes algorithm and a pure lexicon-based method. Moreover, results demonstrate that this proposed method may also be successfully used for polarity detection.<\/jats:p>","DOI":"10.1177\/0165551519827886","type":"journal-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T10:39:41Z","timestamp":1549449581000},"page":"101-117","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":30,"title":["HOMPer: A new hybrid system for opinion mining in the Persian language"],"prefix":"10.1177","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2893-3892","authenticated-orcid":false,"given":"Mohammad Ehsan","family":"Basiri","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Shahrekord University, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arman","family":"Kabiri","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Shahrekord University, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,2,6]]},"reference":[{"key":"bibr1-0165551519827886","first-page":"84","volume-title":"Proceedings of the 2017 3rd international conference on pattern recognition and image analysis (IPRIA)","author":"Basiri ME"},{"key":"bibr2-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514522734"},{"key":"bibr3-0165551519827886","first-page":"502","volume-title":"Proceedings of the 5th international AAAI conference on weblogs and social media","author":"Groh G"},{"key":"bibr4-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1177\/0894439314521983"},{"key":"bibr5-0165551519827886","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-160029"},{"key":"bibr6-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1177\/0165551515593689"},{"key":"bibr7-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2016.2592520"},{"key":"bibr8-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.05.010"},{"key":"bibr9-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1007\/s40558-017-0079-2"},{"key":"bibr10-0165551519827886","first-page":"691","volume":"12","author":"Iskandar B.","year":"2017","journal-title":"J Eng Appl Sci"},{"key":"bibr11-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139084789"},{"key":"bibr12-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"bibr13-0165551519827886","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21662"},{"key":"bibr14-0165551519827886","unstructured":"Amiri F, Scerri S, Khodashahi MH, et al. 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