{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T10:46:11Z","timestamp":1783075571809,"version":"3.54.6"},"reference-count":49,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41961062"],"award-info":[{"award-number":["41961062"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2018JJA150089"],"award-info":[{"award-number":["2018JJA150089"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"name":"PI of each Funding Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2019.2961100","type":"journal-article","created":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T04:56:55Z","timestamp":1577163415000},"page":"8658-8667","source":"Crossref","is-referenced-by-count":49,"title":["A Systematic Spatial and Temporal Sentiment Analysis on Geo-Tweets"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8557-8017","authenticated-orcid":false,"given":"Tao","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6879-0553","authenticated-orcid":false,"given":"Bing","family":"She","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6006-9259","authenticated-orcid":false,"given":"Lian","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5869-7424","authenticated-orcid":false,"given":"Han","family":"Yue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0965-9798","authenticated-orcid":false,"given":"Julaine","family":"Clunis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2196\/12881"},{"key":"ref38","author":"mislove","year":"2010","journal-title":"Pulse of The Nation US Mood Throughout The Day Inferred From Twitter"},{"key":"ref33","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":"ref32","doi-asserted-by":"crossref","DOI":"10.1609\/icwsm.v8i1.14550","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":"ref31","article-title":"Combining lexicon-based and learning-based methods for Twitter sentiment analysis","author":"zhang","year":"2011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063726"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1177\/0042098017748544"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.17645\/up.v1i2.617"},{"key":"ref35","first-page":"199","article-title":"Urban emotions&#x2014;Geo-semantic emotion extraction from technical sensors, human sensors and crowdsourced data","author":"resch","year":"2015","journal-title":"Progress in Location-Based Services"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2108"},{"key":"ref28","first-page":"30","article-title":"Sentiment analysis of twitter data","author":"agarwal","year":"2011","journal-title":"Proc Workshop on Language in Social Media"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref29","article-title":"Twitter sentiment analysis: The good the bad and the omg!","author":"kouloumpis","year":"2011","journal-title":"Proc 5th Int AAAI Conf Weblogs Social Media"},{"key":"ref2","article-title":"Sensing human sentiment via social media images: Methodologies and applications","author":"wang","year":"2018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/eScience.2016.7870913"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/15230406.2018.1434834"},{"key":"ref21","article-title":"Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena","author":"bollen","year":"2011","journal-title":"Proc 5th Int AAAI Conf Weblogs Social Media"},{"key":"ref24","first-page":"2303","article-title":"Product sales prediction based on sentiment analysis using twitter data","volume":"6","author":"gaikar","year":"2015","journal-title":"Int J Comput Sci Inf Technol"},{"key":"ref23","article-title":"Using twitter to predict sales: A case study","author":"dijkman","year":"2015","journal-title":"arXiv 1503 04599"},{"key":"ref26","first-page":"1320","article-title":"Twitter as a corpus for sentiment analysis and opinion mining","volume":"10","author":"pak","year":"2010","journal-title":"Proc LREC"},{"key":"ref25","first-page":"308","article-title":"Prediction of movie success using sentiment analysis of tweets","volume":"3","author":"jain","year":"2013","journal-title":"International Journal on Soft Computing and Software Engineering"},{"key":"ref10","author":"chokshi","year":"2019","journal-title":"Americans Are Among The Most Stressed People In The World Poll Finds The New York Times"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1179\/1743277414Y.0000000094"},{"key":"ref40","author":"hollander","year":"2015","journal-title":"Measuring Urban Attitudes Using Twitter An Exploratory Study"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964870"},{"key":"ref13","article-title":"Mapping moods: Geo-mapped sentiment analysis during hurricane sandy","author":"caragea","year":"2014","journal-title":"Proc ISCRAM"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20591-5_26"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2016.12.011"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-018-3231-1"},{"key":"ref17","article-title":"Comparing emotional reactions to terrorism events on Twitter","author":"harb","year":"2018","journal-title":"Proc Workshop Big Social Data Urban Comput"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2017.8229812"},{"key":"ref19","author":"adil","year":"2018","journal-title":"American Sentiments Towards Gun Violence"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097\/00002508-200006000-00004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0956797612457382"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2196\/publichealth.5789"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.131.6.925"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1609\/icwsm.v4i1.14031","article-title":"From tweets to polls: Linking text sentiment to public opinion time series","author":"o\u2019connor","year":"2010","journal-title":"Proc 4th Int AAAI Conf Weblogs Social Media"},{"key":"ref7","article-title":"Sentiment in new york city: A high resolution spatial and temporal view","author":"bertrand","year":"2013","journal-title":"arXiv 1308 5010"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3115\/1699510.1699543"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-9125.2001.tb00932.x"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/9780470057339.vas039"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1080\/00343409950122945"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1002\/0471662682"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1995.tb00338.x"},{"key":"ref41","article-title":"Harvard CGA Geo-tweet archive","author":"lewis","year":"2016","journal-title":"Harvard dataverse"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0195093"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19990830)18:16<2147::AID-SIM179>3.0.CO;2-I"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08937540.pdf?arnumber=8937540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T10:02:59Z","timestamp":1695549779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8937540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2961100","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}