{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T09:32:19Z","timestamp":1761989539079},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1109\/cacre50138.2020.9230015","type":"proceedings-article","created":{"date-parts":[[2020,10,22]],"date-time":"2020-10-22T16:10:16Z","timestamp":1603383016000},"page":"661-665","source":"Crossref","is-referenced-by-count":11,"title":["SFNN: Semantic Features Fusion Neural Network for Multimodal Sentiment Analysis"],"prefix":"10.1109","author":[{"given":"Weidong","family":"Wu","sequence":"first","affiliation":[]},{"given":"Yabo","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shuning","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Kaibo","family":"Yan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"773","author":"fei-fei","year":"2017","journal-title":"A Deep Learning Model Enhanced with Emotion Semantics for Microblog Sentiment Analysis"},{"key":"ref11","first-page":"857","author":"jia","year":"2012","journal-title":"Can we understand van gogh’s mood? learning to infer affects from images in social networks"},{"key":"ref12","first-page":"101","author":"yanulevskaya","year":"2008","journal-title":"Emotional valence categorization using holistic image features"},{"key":"ref13","first-page":"229","author":"lu","year":"2012","journal-title":"On Shape and the Computability of Emotions"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/978-3-540-87781-3_46"},{"key":"ref15","article-title":"Building a large scale dataset for image emotion recognition: The fine print and the benchmark","author":"you","year":"2016","journal-title":"arXiv Artificial Intelligence"},{"year":"0","key":"ref16"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.18653\/v1\/N16-1174"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1609\/aaai.v33i01.3301305"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.18653\/v1\/D18-1382"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.3115\/v1\/P15-1150"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/MIS.2013.9"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.inffus.2017.02.003"},{"key":"ref8","first-page":"972","author":"peng wu","year":"2017","journal-title":"Sentiment analysis of network public opinion based on deep learning and occ"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/j.knosys.2018.07.041"},{"key":"ref2","first-page":"79","article-title":"Thumbs up? sentiment classification using machine learning techniques","author":"pang","year":"2002","journal-title":"Empirical Methods in Natural Language Processing"},{"key":"ref1","first-page":"1","article-title":"How publics respond to crisis communication strategies: The interplay of information form and source","author":"soomin kim","year":"2006"},{"key":"ref9","first-page":"97","author":"peng wu","year":"2018","journal-title":"Negative emotions of online users’ analysis based on bidirectional long short-term memory"}],"event":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","start":{"date-parts":[[2020,9,19]]},"location":"Dalian, China","end":{"date-parts":[[2020,9,20]]}},"container-title":["2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9229471\/9229898\/09230015.pdf?arnumber=9230015","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:44:10Z","timestamp":1656330250000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9230015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/cacre50138.2020.9230015","relation":{},"subject":[],"published":{"date-parts":[[2020,9]]}}}