{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T19:22:08Z","timestamp":1729624928984,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1]]},"DOI":"10.1109\/ccwc.2017.7868364","type":"proceedings-article","created":{"date-parts":[[2017,3,2]],"date-time":"2017-03-02T16:39:33Z","timestamp":1488472773000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Evaluating marijuana-related tweets on Twitter"],"prefix":"10.1109","author":[{"family":"Anh Nguyen","sequence":"first","affiliation":[]},{"family":"Quang Hoang","sequence":"additional","affiliation":[]},{"family":"Hung Nguyen","sequence":"additional","affiliation":[]},{"family":"Dong Nguyen","sequence":"additional","affiliation":[]},{"family":"Tuan Tran","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"30","article-title":"Sentiment analysis of twitter data","author":"agarwal","year":"2011","journal-title":"LSM '11 Proceedings of the Workshop on Languages in Social Media Association for Computational Linguistics"},{"key":"ref11","first-page":"539","article-title":"The hurricane sandy twitter corpus","volume":"499","author":"wang","year":"2014","journal-title":"LINKS"},{"key":"ref12","first-page":"538","article-title":"Twitter sentiment analysis: The good the bad and the omg!","volume":"11","author":"kouloumpis","year":"2011","journal-title":"ICWSM"},{"key":"ref13","article-title":"Discov ering relevant hashtags for health concepts: A case study of twitter","author":"li","year":"2016","journal-title":"Workshops at the Thirtieth AAAI Conference on Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3414\/ME12-02-0010"},{"key":"ref15","first-page":"16","article-title":"A model for mining public health topics from twitter","volume":"11","author":"paul","year":"2012","journal-title":"Health"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jadohealth.2014.10.270"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3247"},{"journal-title":"Mashape Tweet sentiment api","year":"0","key":"ref18"},{"journal-title":"4 states just voted to make marijuana completely legal - here's what we know","year":"0","author":"gilbert","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2012.76"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.2534"},{"year":"2016","author":"website","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-012-9185-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(04)16200-4"},{"key":"ref29","article-title":"Worldwide influenza surveillance through twitter","author":"paul","year":"2015","journal-title":"AAAI Workshop on the World Wide Web and Public Health Intelligence"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2196\/publichealth.5205"},{"journal-title":"The public health consequences of marijuana legalization","year":"0","author":"house","key":"ref8"},{"key":"ref7","first-page":"887","article-title":"Current and former marijuana use: preliminary findings of a longitudinal study of effects on iq in young adults","volume":"166","author":"fried","year":"2002","journal-title":"Canadian Medical Association Journal"},{"journal-title":"Twitter Twitter usage \/ company facts","year":"0","key":"ref2"},{"key":"ref9","first-page":"1320","article-title":"Twitter as a corpus for sentiment analysis and opinion mining","volume":"10","author":"pak","year":"2010","journal-title":"LREC"},{"journal-title":"For election day influence twitter ruled social media","year":"0","author":"isaac","key":"ref1"},{"journal-title":"Here's where donald trump and hillary clinton stand on marijuana legalization","year":"0","author":"insider","key":"ref20"},{"journal-title":"States and Localities State marijuana laws in 2016 map","year":"0","key":"ref22"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.2105\/AJPH.2014.301889","article-title":"Effects of lowering the minimum alcohol purchasing age on weekend assaults resulting in hospitalization in new zealand","volume":"104","author":"ypri","year":"2014","journal-title":"American Journal of Public Health"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-3214"},{"key":"ref23","article-title":"Twitter to surpass 500 million registered users on wednesday","author":"dugan","year":"2012","journal-title":"All Twitter"},{"year":"2016","key":"ref26"},{"key":"ref25","article-title":"Characterizing geographic variation in well-being using tweets","author":"schwartz","year":"2013","journal-title":"ICWSM"}],"event":{"name":"2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)","start":{"date-parts":[[2017,1,9]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2017,1,11]]}},"container-title":["2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7864800\/7868337\/07868364.pdf?arnumber=7868364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T03:46:18Z","timestamp":1568864778000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7868364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ccwc.2017.7868364","relation":{},"subject":[],"published":{"date-parts":[[2017,1]]}}}