{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T22:10:23Z","timestamp":1780351823369,"version":"3.54.1"},"reference-count":46,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/escience.2016.7870913","type":"proceedings-article","created":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T22:09:29Z","timestamp":1488838169000},"page":"303-312","source":"Crossref","is-referenced-by-count":21,"title":["A machine learning analysis of Twitter sentiment to the Sandy Hook shootings"],"prefix":"10.1109","author":[{"given":"Nan","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Blesson","family":"Varghese","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter D.","family":"Donnelly","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref38","first-page":"894439310386557","article-title":"Elec-tion Forecasts with Twitter: How 140 Characters Reflect the Political Landscape","author":"tumasjan","year":"2010","journal-title":"Computer Science Society"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772777"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3115\/1699571.1699591"},{"key":"ref31","first-page":"417","article-title":"Sentiwordnet: A Publicly Available Lexical Resource for Opinion Mining","volume":"6","author":"esuli","year":"2006","journal-title":"Proceedings of the international conference on Language Resources and Evaluation"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref37","first-page":"241","article-title":"Enhanced Sentiment Learning Using Twitter Hashtags and Smileys","author":"davidov","year":"2010","journal-title":"Proceedings of the 23rd International Conference on Computational Linguistics Posters"},{"key":"ref36","first-page":"1","article-title":"Sentiment Knowledge Discovery in Twitter Streaming Data","author":"bifet","year":"2010","journal-title":"Proceedings of 13th International Conference on Discovery Science"},{"key":"ref35","first-page":"30","article-title":"Sentiment Analysis of Twitter Data","author":"agarwal","year":"2011","journal-title":"Proceedings of the Workshop on Languages in Social Media"},{"key":"ref34","first-page":"508","article-title":"Semantic Sentiment Analysis of Twitter","author":"saif","year":"2012","journal-title":"Proceedings of the 11th International Conference on the Semantic Web - Volume Part I"},{"key":"ref10","article-title":"RTextTools: Automatic Text Classification via Supervised Learning","author":"jurka","year":"2012","journal-title":"R package version 1 3 3"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2010.63"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-7138-7","author":"james","year":"2013","journal-title":"An Introduction to Statistical Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref13","article-title":"Twitter as a Corpus for Sentiment Analysis and Opinion Mining","author":"pak","year":"2010","journal-title":"Proceedings of the Seventh Conference on International Language Resources and Evaluation"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"56","DOI":"10.32614\/RJ-2012-007","article-title":"maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification","volume":"4","author":"jurka","year":"2012","journal-title":"R Journal"},{"key":"ref15","article-title":"Classification and Regression Trees","author":"ripley","year":"2005","journal-title":"R package version 1 4&#x2013;1"},{"key":"ref16","article-title":"ipred: Improved Predictors","author":"peters","year":"2013","journal-title":"R package version 0 3&#x2013;3"},{"key":"ref17","first-page":"18","article-title":"Classification and Regression by randomFor-est","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref18","article-title":"caTools: Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc","author":"tuszynski","year":"2014","journal-title":"R package version 1 17"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7012(00)00201-3"},{"key":"ref28","article-title":"The Arab Spring&#x2014; The Revolutions Were Tweeted: Information Flows during the 2011 Tunisian and Egyptian Revolutions","volume":"5","author":"lotan","year":"2011","journal-title":"International Journal of Communication"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176349027"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-014-0206-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063994"},{"key":"ref6","first-page":"538","author":"kouloumpis","year":"2011","journal-title":"Twitter Sentiment Analysis The Good the Bad and the OMG!"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/13645579.2013.774172"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"40","DOI":"10.32614\/RJ-2011-017","article-title":"google Vis: Interface Between R and the Google Visualisation API","volume":"3","author":"gesmann","year":"2011","journal-title":"R Journal"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691669"},{"key":"ref7","first-page":"1","article-title":"Twitter Sentiment Classification Using Distant Supervision","author":"go","year":"2009","journal-title":"CS224N Project Report Stanford"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.4161\/dish.27113"},{"key":"ref9","article-title":"The e1071 Package","author":"dimitriadou","year":"2006","journal-title":"Department of Statistics (e1071) TU Wien"},{"key":"ref1","article-title":"Report of the State's Attorney for the Judicial District of Danbury on the Shootings at Sandy Hook Elementary School and 36 Yogananda Street","author":"sedensky","year":"2013","journal-title":"Connecticut on December 14 2012 State of Connecticut"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2015.302749"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21706-2","author":"venables","year":"2002","journal-title":"Modern Applied Statistics with S"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2014.302042"},{"key":"ref22","article-title":"rgeos: Interface to Geometry Engine - Open Source (GEOS)","author":"bivand","year":"2014","journal-title":"R package version 0 3&#x2013;3"},{"key":"ref21","first-page":"90","article-title":"Baselines and Bigrams: Simple, Good Sentiment and Topic Classification","author":"wang","year":"2012","journal-title":"Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics Short Papers-Volume 2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2009.01.003"},{"key":"ref24","article-title":"maps: Draw Geographical Maps","author":"brownrigg","year":"2014","journal-title":"R package version 2 3&#x2013;5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"ref23","first-page":"9","article-title":"Classes and Methods for Spatial Data in R","volume":"5","author":"pebesma","year":"2005","journal-title":"R News"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-5526-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2014.302242"},{"key":"ref43","first-page":"265","article-title":"You Are What You Tweet: Analyzing Twitter for Public Health","author":"paul","year":"2011","journal-title":"Proceedings of the 5th International AAAI Conference on Weblogs and Social Media"},{"key":"ref25","article-title":"maptools: Tools for Reading and Handling Spatial Objects","author":"bivand","year":"2014","journal-title":"R package version 0 3&#x2013;3"}],"event":{"name":"2016 IEEE 12th International Conference on e-Science (e-Science)","location":"Baltimore, MD, USA","start":{"date-parts":[[2016,10,23]]},"end":{"date-parts":[[2016,10,27]]}},"container-title":["2016 IEEE 12th International Conference on e-Science (e-Science)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7864292\/7870873\/07870913.pdf?arnumber=7870913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T10:32:20Z","timestamp":1568889140000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7870913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/escience.2016.7870913","relation":{},"subject":[],"published":{"date-parts":[[2016,10]]}}}