{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:36:10Z","timestamp":1779384970448,"version":"3.53.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shenzhen Science and Technology Program","award":["ZDSYS2021102111141502"],"award-info":[{"award-number":["ZDSYS2021102111141502"]}]},{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62277001"],"award-info":[{"award-number":["62277001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Program of Beijing Municipal Education Commission","award":["KZ202110011017"],"award-info":[{"award-number":["KZ202110011017"]}]},{"name":"National Key Technology Research and Development Program of China","award":["SQ2020YFB10027"],"award-info":[{"award-number":["SQ2020YFB10027"]}]},{"name":"Major Science and Technology Special Project of Yunnan Province","award":["202102AD080006"],"award-info":[{"award-number":["202102AD080006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tnnls.2023.3274912","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T14:43:37Z","timestamp":1684853017000},"page":"249-259","source":"Crossref","is-referenced-by-count":7,"title":["A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing"],"prefix":"10.1109","volume":"36","author":[{"given":"Zhihao","family":"Hao","sequence":"first","affiliation":[{"name":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Macau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guancheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Macau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2497-9519","authenticated-orcid":false,"given":"Bob","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Macau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuowen","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Literature and Journalism, Guangdong Ocean University, Zhanjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4861-0513","authenticated-orcid":false,"given":"Haisheng","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Big Data Technology for Food Safety and the School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fahui","family":"Chong","sequence":"additional","affiliation":[{"name":"China Industrial Control Systems Cyber Emergency Response Team, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Pan","sequence":"additional","affiliation":[{"name":"China Industrial Control Systems Cyber Emergency Response Team, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"China Industrial Control Systems Cyber Emergency Response Team, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1236-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3160699"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3219615"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.055"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3157142"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.116"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref8","first-page":"1","article-title":"A survey on federated learning: Challenges and applications","volume":"14","author":"Wen","year":"2022","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20825"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.321"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4458"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3570953"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105810"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2021.3134463"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3216802"},{"key":"ref16","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref17","article-title":"FastText.Zip: Compressing text classification models","author":"Joulin","year":"2016","journal-title":"arXiv:1612.03651"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/B:INRT.0000009441.78971.be"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA47632.2019.9035303"},{"key":"ref20","article-title":"Word vector enrichment of low frequency words in the bag-of-words model for short text multi-class classification problems","author":"Heap","year":"2017","journal-title":"arXiv:1709.05778"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.20965\/jaciii.2018.p0380"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.066"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3056664"},{"key":"ref24","article-title":"Mogrifier LSTM","author":"Melis","year":"2019","journal-title":"arXiv:1909.01792"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2025\/1\/012004"},{"key":"ref26","article-title":"Gates are not what you need in RNNs","author":"Zakovskis","year":"2021","journal-title":"arXiv:2108.00527"},{"key":"ref27","first-page":"1","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Zhang"},{"key":"ref28","article-title":"Text understanding from scratch","author":"Zhang","year":"2015","journal-title":"arXiv:1502.01710"},{"key":"ref29","article-title":"Efficient character-level document classification by combining convolution and recurrent layers","author":"Xiao","year":"2016","journal-title":"arXiv:1602.00367"},{"key":"ref30","article-title":"Very deep convolutional networks for text classification","author":"Conneau","year":"2016","journal-title":"arXiv:1606.01781"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367560"},{"key":"ref32","article-title":"Bag of tricks for efficient text classification","author":"Joulin","year":"2016","journal-title":"arXiv:1607.01759"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.1928601"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1615"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/foods10061398"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1177\/0165551516677946"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s41133-020-00032-0"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/su11195254"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/1206212X.2019.1643584"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/12460125.2020.1864106"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-189738"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/jtaer17010001"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph15081627"},{"key":"ref44","volume-title":"Text Sentiment Classification (2): Deep Learning Model","author":"Su","year":"2015"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10832116\/10130829.pdf?arnumber=10130829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:39:03Z","timestamp":1764959943000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10130829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":44,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3274912","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}