{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:45:41Z","timestamp":1775666741384,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Grant","award":["2017A074"],"award-info":[{"award-number":["2017A074"]}]},{"name":"The Ministry of Science and Technology of China Major Grant","award":["2016QY02D0205"],"award-info":[{"award-number":["2016QY02D0205"]}]},{"name":"NSFC Grant","award":["71621002, 61671450 and 71472175"],"award-info":[{"award-number":["71621002, 61671450 and 71472175"]}]},{"name":"CAS Key Grant","award":["ZDRW-XH-2017-3"],"award-info":[{"award-number":["ZDRW-XH-2017-3"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3133142","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"2399-2402","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":153,"title":["MultiSentiNet"],"prefix":"10.1145","author":[{"given":"Nan","family":"Xu","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Wenji","family":"Mao","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"LREC","volume":"10","author":"Baccianella Stefano","year":"2010"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502282"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25207-0_14"},{"key":"e_1_3_2_1_4_1","volume-title":"Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850","author":"Graves Alex","year":"2013"},{"key":"e_1_3_2_1_5_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Kim Yoon","year":"2014"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27674-8_2"},{"key":"e_1_3_2_1_7_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.v61:12"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632856.2632912"},{"key":"e_1_3_2_1_10_1","volume-title":"Visual sentiment prediction with deep convolutional neural networks. arXiv preprint arXiv:1411.5731","author":"Xu Can","year":"2014"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835779"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/a9020041"},{"key":"e_1_3_2_1_13_1","unstructured":"Bolei Zhou Agata Lapedriza Jianxiong Xiao Antonio Torralba and Aude Oliva. 2014. Learning deep features for scene recognition using places database Advances in neural information processing systems. 487--495.   Bolei Zhou Agata Lapedriza Jianxiong Xiao Antonio Torralba and Aude Oliva. 2014. Learning deep features for scene recognition using places database Advances in neural information processing systems. 487--495."}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","location":"Singapore Singapore","acronym":"CIKM '17","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133142","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3133142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:53Z","timestamp":1750212833000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133142"}},"subtitle":["A Deep Semantic Network for Multimodal Sentiment Analysis"],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":13,"alternative-id":["10.1145\/3132847.3133142","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3133142","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}