{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T13:09:25Z","timestamp":1778159365660,"version":"3.51.4"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2996805","type":"journal-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T20:32:50Z","timestamp":1590179570000},"page":"96550-96564","source":"Crossref","is-referenced-by-count":38,"title":["Aggregating Customer Review Attributes for Online Reputation Generation"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0039-7832","authenticated-orcid":false,"given":"Abdessamad","family":"Benlahbib","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"El Habib","family":"Nfaoui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507163"},{"key":"ref38","first-page":"1612","article-title":"A short introduction to boosting","volume":"14","author":"freund","year":"1999","journal-title":"J Jap Soc Artificial Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/10919392.2015.1058125"},{"key":"ref32","first-page":"90","article-title":"Baselines and bigrams: Simple, good sentiment and topic classification","author":"wang","year":"2012","journal-title":"Proceedings of the 50th Annual Meeting of the Ass for Computational Linguistics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_13"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1142\/6986"},{"key":"ref37","first-page":"148","article-title":"Experiments with a new boosting algorithm","volume":"96","author":"freund","year":"1996","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/e18010004"},{"key":"ref60","article-title":"Exploring the limits of transfer learning with a unified Text-to-Text transformer","author":"raffel","year":"2019","journal-title":"arXiv 1910 10683"},{"key":"ref62","article-title":"Improving language understanding by generative pre-training","author":"radford","year":"2018"},{"key":"ref61","first-page":"1","article-title":"ELECTRA: Pre-training text encoders as discriminators rather than generators","author":"clark","year":"2020","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2006.00276.x"},{"key":"ref64","first-page":"142","article-title":"Learning word vectors for sentiment analysis","author":"maas","year":"2011","journal-title":"Proc 49th Annu Meet Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1218990"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.05.070"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.312.7047.1654"},{"key":"ref29","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.12.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.069"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0131"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.10.004"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/321075.321084"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2006.00277.x"},{"key":"ref25","first-page":"39","article-title":"A maximum entropy approach to natural language processing","volume":"22","author":"berger","year":"1996","journal-title":"Comput Linguistics"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref51","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"bishop","year":"1995","journal-title":"Neural Networks for Pattern Recognition"},{"key":"ref59","article-title":"ALBERT: A lite BERT for self-supervised learning of language representations","author":"lan","year":"2019","journal-title":"arXiv 1909 11942"},{"key":"ref58","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"arXiv 1906 08237"},{"key":"ref57","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"liu","year":"2019","journal-title":"arXiv 1907 11692"},{"key":"ref56","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref55","article-title":"Unsupervised data augmentation for consistency training","author":"xie","year":"2019","journal-title":"arXiv 1904 12848"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP.2017.8286763"},{"key":"ref52","article-title":"Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews","author":"mesnil","year":"2014","journal-title":"arXiv 1412 5335"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/10919392.2019.1654350"},{"key":"ref11","first-page":"1","article-title":"A logistic regression approach for generating movies reputation based on mining user reviews","author":"benlahbib","year":"2019","journal-title":"Proc Int Conf Intell Syst Adv Comput Sci (ISACS)"},{"key":"ref40","first-page":"417","article-title":"Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews","author":"turney","year":"2002","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref12","first-page":"487","article-title":"Fast algorithms for mining association rules","author":"agrawal","year":"1994","journal-title":"Proc 20th Int Conf Very Large Data Bases (VLDB)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/1225733.1225750"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2013.37"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.110"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8122782"},{"key":"ref18","first-page":"339","article-title":"Building a sentiment summarizer for local service reviews","author":"sasha","year":"2008","journal-title":"Proc WWW Workshop NLP Inf Explosion Era"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACIT.2018.8672719"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183625"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2013.09.090"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2015.1116640"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.11.011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-3001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.01.011"},{"key":"ref46","first-page":"ii","article-title":"Distributed representations of sentences and documents","volume":"32","author":"le","year":"2014","journal-title":"Proc Int Conf Int Conf Mach Learn (ICML)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.059"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1011"},{"key":"ref47","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc 26th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00049"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_42"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.031"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112834"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09098950.pdf?arnumber=9098950","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T06:56:55Z","timestamp":1722927415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9098950\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2996805","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}