{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:40:30Z","timestamp":1775914830524,"version":"3.50.1"},"reference-count":7,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/ictc.2017.8190959","type":"proceedings-article","created":{"date-parts":[[2017,12,14]],"date-time":"2017-12-14T17:02:05Z","timestamp":1513270925000},"page":"138-140","source":"Crossref","is-referenced-by-count":123,"title":["Sentiment analysis of social networking sites (SNS) data using machine learning approach for the measurement of depression"],"prefix":"10.1109","author":[{"given":"Anees Ul","family":"Hassan","sequence":"first","affiliation":[]},{"given":"Jamil","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Musarrat","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Sadiq","sequence":"additional","affiliation":[]},{"given":"Sungyoung","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"Validating machine learning algorithms for twitter data against established measures of suicidality","volume":"3 2","author":"scott","year":"2016","journal-title":"JMIR Mental Health"},{"key":"ref3","first-page":"18","article-title":"Social networking sites","author":"anjali","year":"0","journal-title":"SAMVAD 2"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.eswa.2017.01.009","article-title":"Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis","volume":"75","author":"alireza","year":"2017","journal-title":"Expert Systems with Applications"},{"key":"ref5","first-page":"1","article-title":"Document-level sentiment classification using hybrid machine learning approach","author":"abinash","year":"2017","journal-title":"Knowledge and Information Systems"},{"key":"ref7","first-page":"349","article-title":"SNS based predictive model for depression","author":"jamil","year":"2015","journal-title":"International Conference on Smart Homes and Health Telematics"},{"key":"ref2","first-page":"231","article-title":"U sing data mining to predict possible future depression cases","volume":"3 4","author":"shadi","year":"2014","journal-title":"International Journal of Public Health Science (IJPHS)"},{"key":"ref1","first-page":"1","article-title":"Multi-kernel SVM based depression recognition using social media data","author":"zhichao","year":"2017","journal-title":"International Journal of Machine Learning and Cybernetics"}],"event":{"name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","location":"Jeju","start":{"date-parts":[[2017,10,18]]},"end":{"date-parts":[[2017,10,20]]}},"container-title":["2017 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8125636\/8190740\/08190959.pdf?arnumber=8190959","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T21:35:56Z","timestamp":1570484156000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8190959\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":7,"URL":"https:\/\/doi.org\/10.1109\/ictc.2017.8190959","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}