{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:38Z","timestamp":1740100478544,"version":"3.37.3"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China Foundation","doi-asserted-by":"publisher","award":["61902116"],"award-info":[{"award-number":["61902116"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,22]]},"DOI":"10.1109\/idaacs53288.2021.9661049","type":"proceedings-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:43:03Z","timestamp":1641415383000},"page":"1051-1055","source":"Crossref","is-referenced-by-count":0,"title":["Sentiment Analysis of Movie Reviews based on Pretraining and Dual Branch Coding"],"prefix":"10.1109","author":[{"given":"Feihong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"47","article-title":"Temporal convolutional networks: A unified approach to action segmentation","author":"cornegruta","year":"2016","journal-title":"Proceedings of the 14th European Confer ence on Computer Vision"},{"key":"ref11","first-page":"1746","article-title":"Convolutional neural networks for sentence classi fication","author":"yoon","year":"2014","journal-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)"},{"key":"ref12","article-title":"FastText.Zip: Compressing Text Classification Models","author":"joulin","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852406"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIS50930.2021.9395802"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2992013"},{"key":"ref6","first-page":"4171","article-title":"BERT: PreTraining of deep bidirectional transformers for language understanding","volume":"1","author":"devlin","year":"2018","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.47839\/ijc.17.3.1033"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2021.108274"},{"key":"ref7","article-title":"RoBerta: A robustly optimized BERT pretraining approach","author":"liu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.47839\/ijc.19.4.2000"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09973-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IDAACS.2017.8094501"}],"event":{"name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","start":{"date-parts":[[2021,9,22]]},"location":"Cracow, Poland","end":{"date-parts":[[2021,9,25]]}},"container-title":["2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9660827\/9660386\/09661049.pdf?arnumber=9661049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:45Z","timestamp":1652201805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9661049\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,22]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/idaacs53288.2021.9661049","relation":{},"subject":[],"published":{"date-parts":[[2021,9,22]]}}}