{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T08:16:34Z","timestamp":1772612194963,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100006041","name":"Innovate UK","doi-asserted-by":"publisher","award":["KTP10734"],"award-info":[{"award-number":["KTP10734"]}],"id":[{"id":"10.13039\/501100006041","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["778305"],"award-info":[{"award-number":["778305"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2935200","type":"journal-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T15:57:15Z","timestamp":1565711835000},"page":"113726-113739","source":"Crossref","is-referenced-by-count":22,"title":["Mapping Consumer Sentiment Toward Wireless Services Using Geospatial Twitter Data"],"prefix":"10.1109","volume":"7","author":[{"given":"Weijie","family":"Qi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rob","family":"Procter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3524-3953","authenticated-orcid":false,"given":"Weisi","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"234","article-title":"Sentiment analysis using weighted emoticons and SentiWordNet for Indonesian language","author":"elfajr","year":"2018","journal-title":"Proc IEEE Int Seminar Appl Technol Inf Commun"},{"key":"ref38","first-page":"2200","article-title":"Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","volume":"10","author":"baccianella","year":"2010","journal-title":"Proc Int Conf Lang Res Eval (LREC)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2009"},{"key":"ref32","first-page":"596","article-title":"How constraints affect content: The case of Twitter’s switch from 140 to 280 characters","author":"gligori?","year":"2018","journal-title":"Proc of Intl AAAI Conf on Web and Social Media"},{"key":"ref31","article-title":"Keras: The python deep learning library","author":"chollet","year":"2018","journal-title":"Astrophysics Source Code Library"},{"key":"ref30","article-title":"Recurrent neural network for text classification with multi-task learning","author":"liu","year":"2016","journal-title":"arXiv 1605 05101"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000819"},{"key":"ref36","first-page":"314","article-title":"Investigation of the influence of Twitter user habits on sentiment of their opinions towards transportation services","author":"qi","year":"2019","journal-title":"Proc ASCE Int Conf Comput Civil Eng"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.26438\/ijcse\/v7i2.949963"},{"key":"ref34","article-title":"Machine intelligence techniques for next-generation context-aware wireless networks","author":"bogale","year":"2018","journal-title":"arXiv 1801 04223"},{"key":"ref28","article-title":"word2vec explained: Deriving Mikolov et al.’s negative-sampling word-embedding method","author":"goldberg","year":"2014","journal-title":"arXiv 1402 3722"},{"key":"ref27","first-page":"142","article-title":"Learning word vectors for sentiment analysis","volume":"1","author":"maas","year":"2011","journal-title":"Proc Annu Meeting Assoc Comput Linguist Conf Human Lang Technol"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1142"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-016-0195-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2299397"},{"key":"ref20","first-page":"13","article-title":"Towards a ‘science’ of corpus annotation: A new methodological challenge for corpus linguistics","volume":"22","author":"hovy","year":"2010","journal-title":"International Transactions on"},{"key":"ref22","first-page":"1","article-title":"The ICWSM 2010 JDPA sentiment corpus for the automotive domain","author":"kessler","year":"2010","journal-title":"Proc 4th Int AAAI Conf Weblogs Social Media Data Workshop Challenge (ICWSM-DWC)"},{"key":"ref21","article-title":"Named entity recognition using Web document corpus","author":"karaa","year":"2011","journal-title":"arXiv 1102 5728"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2009.5349575"},{"key":"ref23","first-page":"249","article-title":"Word-sense disambiguation","author":"stevenson","year":"2003","journal-title":"The Oxford Handbook of Computational Linguistics"},{"key":"ref26","article-title":"Classification: Naive Bayes, logistic regression, sentiment","author":"jurafsky","year":"2015","journal-title":"Speech and Language Processing"},{"key":"ref25","first-page":"219","article-title":"Large-scale sentiment analysis for news and blogs","volume":"7","author":"godbole","year":"2007","journal-title":"Proc ICWSM"},{"key":"ref50","author":"palade","year":"2013","journal-title":"Class imbalance learning methods for support vector machines"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.06.007"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921976"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1108\/S2398-601820180000002004","article-title":"Using Twitter as a data source: An overview of ethical, legal, and methodological challenges","author":"ahmed","year":"2017","journal-title":"Advances in Research Ethics and Integrity"},{"key":"ref55","first-page":"1","article-title":"Approaches, tools and applications for sentiment analysis implementation","volume":"125","author":"alessia","year":"2015","journal-title":"Int J Comput Appl"},{"key":"ref54","article-title":"A new statistical approach for comparing algorithms for lexicon based sentiment analysis","author":"machado","year":"2019","journal-title":"arXiv 1906 08717"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2017.12.036"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2019.8743281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/el.2017.0409"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2015.7140302"},{"key":"ref40","first-page":"1","article-title":"Twitter text mining for sentiment analysis on people’s Feedback about Oman tourism","author":"ramanathan","year":"2019","journal-title":"Proc 3rd MEC Int Conf Big Data Smart City (ICBDSC)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref13","first-page":"36","article-title":"Packed feelings and ordered sentiments: Sentiment parsing with quasi-compositional polarity sequencing and compression","author":"moilanen","year":"2010","journal-title":"Proc 19th Eur Conf Artif Intell"},{"key":"ref14","article-title":"A new ANEW: Evaluation of a word list for sentiment analysis in microblogs","author":"\u00e5 nielsen","year":"2011","journal-title":"arXiv 1103 2903"},{"key":"ref15","article-title":"Heart and soul: Sentiment strength detection in the social Web with sentistrength","author":"thelwall","year":"2013","journal-title":"Cyberemotions Collective Emotions in Cyberspace"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT.2013.6726818"},{"key":"ref17","first-page":"2038","article-title":"Twitter sentiment analysis of movie reviews using machine learning techniques","volume":"7","author":"amolik","year":"2016","journal-title":"Int J Eng Technol"},{"key":"ref18","first-page":"151","article-title":"Target-dependent Twitter sentiment classification","author":"jiang","year":"2011","journal-title":"Proc Annu Meeting Assoc Comput Linguist Conf Human Lang Technol"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICSC.2017.92"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/775224.775226"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1136\/tobaccocontrol-2014-051551"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/0894439313490405"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.pubrev.2013.02.005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/10439463.2013.780223"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01298-4_30"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2016.2561924"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.09.007"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.11.002"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00035"},{"key":"ref47","article-title":"Human activity recognition using LSTM-RNN deep neural network architecture","author":"pienaar","year":"2019","journal-title":"arXiv 1905 00599"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5539\/cis.v11n1p52"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.05.182"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622441"},{"key":"ref43","first-page":"128","article-title":"Analysis of customer opinion using machine learning and NLP techniques","volume":"3","author":"krishna","year":"2018","journal-title":"International Journal Of Advanced Research And Studies"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08796368.pdf?arnumber=8796368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:32:43Z","timestamp":1641987163000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8796368\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2935200","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}