{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:19:25Z","timestamp":1761401965327,"version":"3.37.3"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"National Social Science Foundation of China","award":["17BXW071"],"award-info":[{"award-number":["17BXW071"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71461017"],"award-info":[{"award-number":["71461017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007764","name":"Lanzhou Science and Technology Bureau","doi-asserted-by":"publisher","award":["214162"],"award-info":[{"award-number":["214162"]}],"id":[{"id":"10.13039\/501100007764","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2879481","type":"journal-article","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T22:00:21Z","timestamp":1541800821000},"page":"68302-68310","source":"Crossref","is-referenced-by-count":21,"title":["Attention-Based Memory Network for Text Sentiment Classification"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1184-284X","authenticated-orcid":false,"given":"Hu","family":"Han","sequence":"first","affiliation":[]},{"given":"Jin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Guoli","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1047"},{"key":"ref10","first-page":"2204","article-title":"Recurrent models of visual attention","author":"mnih","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref11","first-page":"1298","article-title":"Relation classification via multi-level attention CNNs","author":"linlin","year":"2016","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1058"},{"journal-title":"Effective LSTMs for target-dependent sentiment classification","year":"2015","author":"tang","key":"ref14"},{"journal-title":"Memory networks","year":"2014","author":"weston","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.05.045"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"journal-title":"Neural Turing machines","year":"2014","author":"graves","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1171"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2076"},{"key":"ref29","first-page":"2431","article-title":"End-to-end memory networks","author":"sukhbaatar","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2076"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1130"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2125"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1298"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref22","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref24","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc ICML"},{"key":"ref23","first-page":"1","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00097"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08528401.pdf?arnumber=8528401","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T12:34:43Z","timestamp":1643286883000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8528401\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2879481","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2018]]}}}