{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:53Z","timestamp":1740100193648,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000138","name":"U.S. Department of Education","doi-asserted-by":"publisher","award":["P200A180055"],"award-info":[{"award-number":["P200A180055"]}],"id":[{"id":"10.13039\/100000138","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533870","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["The Case Against Sentiment Analysis for Natural Text"],"prefix":"10.1109","author":[{"given":"Shamoon","family":"Siddiqui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ghulam","family":"Rasool","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi P.","family":"Ramachandran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"174","article-title":"Predicting the semantic orientation of adjectives","author":"hatzivassiloglou","year":"0","journal-title":"35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.jksues.2016.04.002","article-title":"A survey on sentiment analysis challenges","volume":"30","author":"mohey","year":"2018","journal-title":"Journal of King Saud University-Engineering Sciences"},{"key":"ref12","first-page":"142","article-title":"Learning word vectors for sentiment analysis","author":"andrew","year":"0","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2017.10.002"},{"key":"ref14","article-title":"Market trend prediction using sentiment analysis: Lessons learned and paths forward","author":"mudinas","year":"2019","journal-title":"ArXiv"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/945645.945658"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/1075527.1075614"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3209281.3209328"},{"key":"ref19","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"richard","year":"0","journal-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref28","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02423-y"},{"key":"ref27","first-page":"1","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"ArXiv"},{"journal-title":"Natural Language Processing with Python Analyzing Text with the Natural Language Toolkit","year":"2009","author":"bird","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324917000237"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012395173-1\/50002-5"},{"key":"ref8","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"devlin","year":"0","journal-title":"NAACL HLT 2019 &#x2013; 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies - Proceedings of the Conference"},{"key":"ref7","article-title":"Cours de linguistique gen&#x00E9;rate","volume":"1","author":"de saussure","year":"1989","journal-title":"Otto Harrassowitz Verlag"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INTELCIS.2017.8260068"},{"journal-title":"The Pile An 800GB Dataset of Diverse Text for Language Modeling","year":"2020","author":"gao","key":"ref9"},{"journal-title":"Natural language processing market","year":"0","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00049"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-6710-5_3"},{"key":"ref21","first-page":"584","article-title":"Predicting success of a movie from youtube trailer comments using sentiment analysis","author":"timani","year":"0","journal-title":"Proceedings of the 2019 6th International Conference on Computing for Sustainable Global Development INDIACom 2019"},{"journal-title":"Amazon Web Services - Wikipedia the free encyclopedia","year":"2021","key":"ref24"},{"key":"ref23","first-page":"5999","article-title":"Attention is all you need","author":"ashish","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Amazon rules the public cloud but Google Microsoft Alibaba are growing faster","year":"0","author":"witkowski","key":"ref26"},{"journal-title":"Watson (computer) - Wikipedia the free encyclopedia","year":"2021","key":"ref25"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533870.pdf?arnumber=9533870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:04Z","timestamp":1652197564000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533870","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}