{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:18:45Z","timestamp":1757542725007,"version":"3.37.3"},"reference-count":4,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T00:00:00Z","timestamp":1591574400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Industrial Prospective Project of Jiangsu Technology Department","award":["BE2017081","61572129"],"award-info":[{"award-number":["BE2017081","61572129"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["BE2017081","61572129"],"award-info":[{"award-number":["BE2017081","61572129"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2020,6,8]]},"abstract":"<jats:p>Online product reviews are exploring on e-commerce platforms, and mining aspect-level product information contained in those reviews has great economic benefit. The aspect category classification task is a basic task for aspect-level sentiment analysis which has become a hot research topic in the natural language processing (NLP) field during the last decades. In various e-commerce platforms, there emerge various user-generated question-answering (QA) reviews which generally contain much aspect-related information of products. Although some researchers have devoted their efforts on the aspect category classification for traditional product reviews, the existing deep learning-based approaches cannot be well applied to represent the QA-style reviews. Thus, we propose a 4-dimension (4D) textual representation model based on QA interaction-level and hyperinteraction-level by modeling with different levels of the text representation, i.e., word-level, sentence-level, QA interaction-level, and hyperinteraction-level. In our experiments, the empirical studies on datasets from three domains demonstrate that our proposals perform better than traditional sentence-level representation approaches, especially in the <jats:italic>Digit<\/jats:italic> domain.<\/jats:p>","DOI":"10.1155\/2020\/4690974","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T23:31:35Z","timestamp":1591659095000},"page":"1-10","source":"Crossref","is-referenced-by-count":2,"title":["Big Data Management and Analytics in Scientific Programming: A Deep Learning-Based Method for Aspect Category Classification of Question-Answering-Style Reviews"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1215-8919","authenticated-orcid":true,"given":"Hanqian","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"},{"name":"Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mumu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"},{"name":"Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangbin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"},{"name":"Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhike","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"},{"name":"Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siliang","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"},{"name":"Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.2200\/s00416ed1v01y201204hlt016"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"first-page":"5998","volume-title":"Attention is all you need","year":"2017","key":"13"},{"journal-title":"Advances in Neural Information Processing Systems","first-page":"3111","year":"2013","key":"18"}],"container-title":["Scientific Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2020\/4690974.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2020\/4690974.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2020\/4690974.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T23:31:38Z","timestamp":1591659098000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/sp\/2020\/4690974\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,8]]},"references-count":4,"alternative-id":["4690974","4690974"],"URL":"https:\/\/doi.org\/10.1155\/2020\/4690974","relation":{},"ISSN":["1058-9244","1875-919X"],"issn-type":[{"type":"print","value":"1058-9244"},{"type":"electronic","value":"1875-919X"}],"subject":[],"published":{"date-parts":[[2020,6,8]]}}}