{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T07:16:23Z","timestamp":1726038983437},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030244088"},{"type":"electronic","value":"9783030244095"}],"license":[{"start":{"date-parts":[[2019,8,2]],"date-time":"2019-08-02T00:00:00Z","timestamp":1564704000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-24409-5_2","type":"book-chapter","created":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T05:03:14Z","timestamp":1564635794000},"page":"9-17","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring"],"prefix":"10.1007","author":[{"given":"Ashlynn R.","family":"Daughton","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Paul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,2]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","unstructured":"Bella, A., Ferri, C., Hernandez-Orallo, J., Ramirez-Quintana, M.J.: Quantification via probability estimators. In: ICDM (2010). \n                  https:\/\/doi.org\/10.1109\/ICDM.2010.75","DOI":"10.1109\/ICDM.2010.75"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Culotta, A.: Towards detecting influenza epidemics by analyzing Twitter messages. In Proceedings of the 1st Workshop on Social Media Analytics, Washington D.C, pp. 115\u2013122 (2010)","DOI":"10.1145\/1964858.1964874"},{"key":"2_CR3","doi-asserted-by":"publisher","unstructured":"Da San Martino, G., Gao, W., Sebastiani, F.: Ordinal text quantification. In: SIGIR (2016). \n                  https:\/\/doi.org\/10.1145\/2911451.2914749","DOI":"10.1145\/2911451.2914749"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Doan, S., Ohno-Machado, L., Collier, N.: Enhancing Twitter data analysis with simple semantic filtering: example in tracking influenza-like illnesses (2012)","DOI":"10.1109\/HISB.2012.21"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Efron, B., Tibshirani, R.J.: An Introduction to the Bootstrap. Chapman & Hall, Boca Raton (1993)","DOI":"10.1007\/978-1-4899-4541-9"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Forman, G.: Counting positives accurately despite inaccurate classification. In: ECML (2005)","DOI":"10.1007\/11564096_55"},{"issue":"2","key":"2_CR7","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/s10618-008-0097-y","volume":"17","author":"G Forman","year":"2008","unstructured":"Forman, G.: Quantifying counts and costs via classification. Data Min. Knowl. Discov. 17(2), 164\u2013206 (2008). \n                  https:\/\/doi.org\/10.1007\/s10618-008-0097-y","journal-title":"Data Min. Knowl. Discov."},{"key":"2_CR8","doi-asserted-by":"publisher","unstructured":"Gao, W., Sebastiani, F.: Tweet sentiment: from classification to quantification. In: ASONAM (2015). \n                  https:\/\/doi.org\/10.1145\/2808797.2809327","DOI":"10.1145\/2808797.2809327"},{"issue":"1","key":"2_CR9","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s13278-016-0327-z","volume":"6","author":"W Gao","year":"2016","unstructured":"Gao, W., Sebastiani, F.: From classification to quantification in tweet sentiment analysis. SNAM 6(1), 19 (2016). \n                  https:\/\/doi.org\/10.1007\/s13278-016-0327-z","journal-title":"SNAM"},{"issue":"5","key":"2_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3117807","volume":"50","author":"Pablo Gonz\u00e1lez","year":"2017","unstructured":"Gonz\u00b4alez, P., Casta\u02dcno, A., Chawla, N.V., Coz, J.J.D.: A review on quantification learning. ACM Comput. Surv. 50(5), 74:1\u201374:40 (2017). \n                  https:\/\/doi.org\/10.1145\/3117807","journal-title":"ACM Computing Surveys"},{"key":"2_CR11","unstructured":"Huang, X., Michael, C., Smith, M.J.P., Ryzhkov, D., Quinn, S.C., Broniatowski, D.A., Dredze, M.: Examining patterns of influenza vaccination in social media. In: AAAI Joint Workshop on Health Intelligence (2017)"},{"key":"2_CR12","doi-asserted-by":"publisher","unstructured":"Ji, X., Chun, S.A., Geller, J.: Monitoring public health concerns using twitter sentiment classifications. In: IEEE International Conference on Healthcare Informatics (2013). \n                  https:\/\/doi.org\/10.1109\/ICHI.2013.47","DOI":"10.1109\/ICHI.2013.47"},{"key":"2_CR13","unstructured":"Lamb, A., Paul, M.J., Dredze, M.: Separating fact from fear: tracking flu infections on Twitter. In: NAACL (2013)"},{"key":"2_CR14","unstructured":"Mitra, T., Counts, S., Pennebaker, J.: Understanding anti-vaccination attitudes in social media. In: ICWSM (2016)"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Nakov, P., Ritter, A., Rosenthal, S., Sebastiani, F., Stoyanov, V.: SemEval-2016 Task4: sentiment analysis in Twitter. In: Proceedings of SemEval-2016 (2016)","DOI":"10.18653\/v1\/S16-1001"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Paul, M.J., Dredze, M.: Social monitoring for public health. In: Synthesis Lectures on Information Concepts, Retrieval, and Services, pp. 1\u2013185. Morgan & Claypool (2017)","DOI":"10.2200\/S00791ED1V01Y201707ICR060"},{"key":"2_CR17","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. JMLR 12, 2825\u20132830 (2011)"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.inffus.2016.07.001","volume":"34","author":"Pablo P\u00e9rez-G\u00e1llego","year":"2017","unstructured":"P\u00b4erez-G\u00b4allego, P., Quevedo, J.R., del Coz, J.J.: Using ensembles for problems with characterizable changes in data distribution: a case study on quantification. Inf. Fusion 34, 87\u2013100 (2017). \n                  https:\/\/doi.org\/10.1016\/j.inffus.2016.07.001","journal-title":"Information Fusion"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Sebastiani, F.: Sentiment quantification of user-generated content. In: ESNAM (2018)","DOI":"10.1007\/978-1-4939-7131-2_110170"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Xue, J.C., Weiss, G.M.: Quantification and semi-supervised classification methods for handling changes in class distribution. In: KDD (2009)","DOI":"10.1145\/1557019.1557117"}],"container-title":["Studies in Computational Intelligence","Precision Health and Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24409-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T05:18:41Z","timestamp":1564636721000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24409-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,2]]},"ISBN":["9783030244088","9783030244095"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24409-5_2","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2019,8,2]]},"assertion":[{"value":"2 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"W3PHAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Health Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Honolulu, HI","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 January 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 February 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wphai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/w3phiai2019.w3phi.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}