{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:29Z","timestamp":1750220249391,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,26]]},"DOI":"10.1145\/3503047.3503154","type":"proceedings-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T23:32:51Z","timestamp":1642635171000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Lifelong Machine Learning-Based Quality Analysis for Product Review"],"prefix":"10.1145","author":[{"given":"Xianbin","family":"Hong","sequence":"first","affiliation":[{"name":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng-Uei","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prudence W.H.","family":"Wong","sequence":"additional","affiliation":[{"name":"The University of Liverpool, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nian","family":"Xue","sequence":"additional","affiliation":[{"name":"New York University Abu Dhabi, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ka Lok","family":"Man","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong-Liverpool University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Liu","sequence":"additional","affiliation":[{"name":"De Montfort University, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, China and Shanghai Grandhonor InformationTechnology Co.Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2017.03.009"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.2200\/S00737ED1V01Y201610AIM033"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) Vol.\u00a02. 750\u2013756.  Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) Vol.\u00a02. 750\u2013756.","DOI":"10.3115\/v1\/P15-2123"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1036"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym12050852"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478905.3478992"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3291801.3291829"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Xianbin Hong Jiehao Zhang Sheng-Uei Guan Di Yao Nian Xue Xuan Zhao and Xin Huang. 2017. Incremental Maximum Gaussian Mixture Partition for Classification.  Xianbin Hong Jiehao Zhang Sheng-Uei Guan Di Yao Nian Xue Xuan Zhao and Xin Huang. 2017. Incremental Maximum Gaussian Mixture Partition for Classification.","DOI":"10.2991\/jimec-17.2017.31"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.05.006"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Akbar Karimi Leonardo Rossi and Andrea Prati. 2020. Improving BERT Performance for Aspect-Based Sentiment Analysis. arXiv preprint arXiv:2010.11731(2020).  Akbar Karimi Leonardo Rossi and Andrea Prati. 2020. Improving BERT Performance for Aspect-Based Sentiment Analysis. arXiv preprint arXiv:2010.11731(2020).","DOI":"10.1109\/ICPR48806.2021.9412167"},{"key":"e_1_3_2_1_11_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692(2019).","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu , Myle Ott , Naman Goyal , Jingfei Du , Mandar Joshi , Danqi Chen , Omer Levy , Mike Lewis , Luke Zettlemoyer , and Veselin Stoyanov . 2019 . Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692(2019). Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692(2019)."},{"key":"e_1_3_2_1_12_1","volume-title":"Grace: Gradient harmonized and cascaded labeling for aspect-based sentiment analysis. arXiv preprint arXiv:2009.10557(2020).","author":"Luo Huaishao","year":"2020","unstructured":"Huaishao Luo , Lei Ji , Tianrui Li , Nan Duan , and Daxin Jiang . 2020 . Grace: Gradient harmonized and cascaded labeling for aspect-based sentiment analysis. arXiv preprint arXiv:2009.10557(2020). Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, and Daxin Jiang. 2020. Grace: Gradient harmonized and cascaded labeling for aspect-based sentiment analysis. arXiv preprint arXiv:2009.10557(2020)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-18576-3_47"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0261-9"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Lei Shu Hu Xu and Bing Liu. 2017. Lifelong learning crf for supervised aspect extraction. arXiv preprint arXiv:1705.00251(2017).  Lei Shu Hu Xu and Bing Liu. 2017. Lifelong learning crf for supervised aspect extraction. arXiv preprint arXiv:1705.00251(2017).","DOI":"10.18653\/v1\/P17-2023"},{"key":"e_1_3_2_1_16_1","unstructured":"Youwei Song Jiahai Wang Zhiwei Liang Zhiyue Liu and Tao Jiang. 2020. Utilizing BERT intermediate layers for aspect based sentiment analysis and natural language inference. arXiv preprint arXiv:2002.04815(2020).  Youwei Song Jiahai Wang Zhiwei Liang Zhiyue Liu and Tao Jiang. 2020. Utilizing BERT intermediate layers for aspect based sentiment analysis and natural language inference. arXiv preprint arXiv:2002.04815(2020)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.02.064"},{"key":"e_1_3_2_1_18_1","volume-title":"Dcu: Aspect-based polarity classification for semeval task 4.","author":"Wagner Joachim","year":"2014","unstructured":"Joachim Wagner , Piyush Arora , Santiago Cortes , Utsab Barman , Dasha Bogdanova , Jennifer Foster , and Lamia Tounsi . 2014 . Dcu: Aspect-based polarity classification for semeval task 4. (2014). Joachim Wagner, Piyush Arora, Santiago Cortes, Utsab Barman, Dasha Bogdanova, Jennifer Foster, and Lamia Tounsi. 2014. Dcu: Aspect-based polarity classification for semeval task 4. (2014)."},{"key":"e_1_3_2_1_19_1","volume-title":"Asian Conference on Machine Learning. PMLR, 457\u2013472","author":"Wang Hao","year":"2019","unstructured":"Hao Wang , Bing Liu , Shuai Wang , Nianzu Ma , and Yan Yang . 2019 . Forward and backward knowledge transfer for sentiment classification . In Asian Conference on Machine Learning. PMLR, 457\u2013472 . Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, and Yan Yang. 2019. Forward and backward knowledge transfer for sentiment classification. In Asian Conference on Machine Learning. PMLR, 457\u2013472."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622304"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITME.2016.0139"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6517"}],"event":{"name":"AISS 2021: 2021 3rd International Conference on Advanced Information Science and System","acronym":"AISS 2021","location":"Sanya China"},"container-title":["Proceedings of the 3rd International Conference on Advanced Information Science and System"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503047.3503154","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503047.3503154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:39Z","timestamp":1750188639000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503047.3503154"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,26]]},"references-count":22,"alternative-id":["10.1145\/3503047.3503154","10.1145\/3503047"],"URL":"https:\/\/doi.org\/10.1145\/3503047.3503154","relation":{},"subject":[],"published":{"date-parts":[[2021,11,26]]},"assertion":[{"value":"2022-01-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}