{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:57:29Z","timestamp":1776445049206,"version":"3.51.2"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100010693","name":"Telekom Malaysia Research and Development","doi-asserted-by":"publisher","award":["MMUE\/180019"],"award-info":[{"award-number":["MMUE\/180019"]}],"id":[{"id":"10.13039\/501100010693","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3027845","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:24:51Z","timestamp":1601497491000},"page":"181014-181027","source":"Crossref","is-referenced-by-count":29,"title":["Sentiment Analysis by Fusing Text and Location Features of Geo-Tagged Tweets"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0301-2846","authenticated-orcid":false,"given":"Wei Lun","family":"Lim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1911-0133","authenticated-orcid":false,"given":"Chiung Ching","family":"Ho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5667-2816","authenticated-orcid":false,"given":"Choo-Yee","family":"Ting","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","volume":"1","author":"oliphant","year":"2006","journal-title":"A Guide to NumPy"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1142\/sseke"},{"key":"ref70","author":"dejordy","year":"2008","journal-title":"Introduction to Ego Network Analysis"},{"key":"ref76","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref77","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref74","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.002"},{"key":"ref75","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2033"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2013.12.002"},{"key":"ref79","year":"2020","journal-title":"Merge Layer"},{"key":"ref33","first-page":"1","article-title":"A survey of sentiment analysis in social media","volume":"15","author":"yue","year":"2018","journal-title":"Knowl Inf Syst"},{"key":"ref32","article-title":"Revealed public opinion on Twitter: The supreme court of the united states same-sex marriage decisions","author":"clark","year":"2014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39146-0_8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2013.47"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.02.016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10772-017-9429-x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0171649"},{"key":"ref60","author":"al-rfou","year":"2019","journal-title":"Polyglot"},{"key":"ref62","author":"malheiros","year":"2019","journal-title":"Access Senticnet Api Using Python"},{"key":"ref61","year":"2019","journal-title":"IBM Watson Natural Language Understanding"},{"key":"ref63","year":"2019","journal-title":"GeoNames Web Service Documentation"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21149"},{"key":"ref64","author":"chollet","year":"2019","journal-title":"Embedding Layer"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433463"},{"key":"ref65","author":"chollet","year":"2019","journal-title":"Embedding Layer"},{"key":"ref66","article-title":"Very deep convolutional networks for text classification","author":"conneau","year":"2016","journal-title":"arXiv 1606 01781"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2012.12.022"},{"key":"ref67","author":"olah","year":"2020","journal-title":"Understanding LSTM Networks"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0058-9_28"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2776930"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/35021BIGCOMP.2015.7072847"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.058"},{"key":"ref22","article-title":"Using twitter as a data source: An overview of social media research tools (updated for 2017)","author":"ahmed","year":"2017","journal-title":"Impact of Science on Society"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2017.10.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.4236\/sn.2013.22009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3185045"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2014.29"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14257\/astl.2014.51.51"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/0364-0213(90)90002-E"},{"key":"ref51","article-title":"Comparative study of CNN and RNN for natural language processing","author":"yin","year":"2017","journal-title":"arXiv 1702 01923"},{"key":"ref59","author":"loria","year":"2019","journal-title":"Simple Pythonic Text Processing Sentiment Analysis Part-of-Speech Tagging Noun Phrase Parsing and More"},{"key":"ref58","first-page":"1","article-title":"Vader: A parsimonious rule-based model for sentiment analysis of social media text","author":"hutto","year":"2014","journal-title":"Proc Int'l AAAI Conf Weblogs and Social Media"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-4267-4"},{"key":"ref56","first-page":"1277","article-title":"A latent variable model for geographic lexical variation","author":"eisenstein","year":"2010","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"ref52","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0042098017748544"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3828\/tpr.2017.29"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.07.019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3385186"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.01.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18311\/gjeis\/2017\/15616"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2017.03.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.124"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609593"},{"key":"ref19","first-page":"627","article-title":"Sentiment analysis and subjectivity","volume":"2","author":"liu","year":"2010","journal-title":"Handbook of Natural Language Processing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2017.4531228"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10669-020-09763-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1179\/1743277414Y.0000000094"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2014.08.031"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref9","article-title":"Sentiment in new york city: A high resolution spatial and temporal view","author":"bertrand","year":"2013","journal-title":"arXiv 1308 5010"},{"key":"ref46","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref48","first-page":"380","article-title":"Dynamic word embeddings","volume":"70","author":"bamler","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18642\/ijamml_7100122119"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.030"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.051"},{"key":"ref44","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"arXiv 1301 3781 [cs]"},{"key":"ref43","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09210093.pdf?arnumber=9210093","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:17Z","timestamp":1639770977000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9210093\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3027845","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}