{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T18:34:08Z","timestamp":1729622048519,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/ijcnn.2016.7727792","type":"proceedings-article","created":{"date-parts":[[2016,11,8]],"date-time":"2016-11-08T21:15:56Z","timestamp":1478639756000},"page":"4525-4532","source":"Crossref","is-referenced-by-count":5,"title":["Combining user-based and global lexicon features for sentiment analysis in twitter"],"prefix":"10.1109","author":[{"given":"Zhou","family":"Jin","sequence":"first","affiliation":[]},{"given":"Yujiu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xianyu","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Biqing","family":"Huang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1561\/1500000011"},{"key":"ref11","first-page":"1320","article-title":"Twitter as a Corpus for Sentiment Analysis and Opinion Mining[C]","volume":"10","author":"pak","year":"2010","journal-title":"LREC"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.18653\/v1\/S15-2078"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1162\/COLI_a_00049"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1145\/1341531.1341561"},{"year":"1966","author":"stone","article-title":"The General Inquirer: A Computer Annroach to Content Analvsisl [J]","key":"ref15"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.3115\/1220575.1220619"},{"key":"ref17","first-page":"168","article-title":"Mining and summanzmg customer reviews[C]","author":"hu","year":"2004","journal-title":"Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"},{"key":"ref18","first-page":"2200","article-title":"SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion MiningrCl","volume":"10","author":"baccianella","year":"2010","journal-title":"LREC"},{"key":"ref19","first-page":"26","article-title":"Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon[C]","author":"mohammad","year":"2010","journal-title":"Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1145\/2480362.2480498"},{"key":"ref27","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification[J]","volume":"9","author":"fan","year":"2008","journal-title":"The Journal of Machine Learning Research"},{"key":"ref3","first-page":"142","article-title":"Learning word vectors for sentiment analysis[C]","volume":"1","author":"maas","year":"2011","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.3115\/1118693.1118704"},{"key":"ref5","first-page":"395","article-title":"KLUE: Simple and robust methods for polarity classification[C]","volume":"2","author":"proisl","year":"2013","journal-title":"Second Joint Conference on Lexical and Computational Semantics (* SEM)"},{"key":"ref8","first-page":"26","article-title":"Decision Support Systems","volume":"68","author":"fersini","year":"2014","journal-title":"Sentiment analysis Bayesian Ensemble Learning[J]"},{"key":"ref7","first-page":"321","article-title":"NRC- Canada: Building the state-of-the-art in sentiment analysis of tweets[C]","volume":"2","author":"mohammad","year":"2013","journal-title":"Second Joint Conference on Lexical and Computational Semantics (* SEM)"},{"key":"ref2","first-page":"538","article-title":"Twitter sentiment analysis: The good the bad and the omg!","volume":"11","author":"kouloumpis","year":"2011","journal-title":"[J] Icwsm"},{"key":"ref9","first-page":"1","article-title":"Synthesis Lectures on Human Language Technologies","volume":"5","author":"liu","year":"2012","journal-title":"Opinion mining and sentiment analysis"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.3115\/1609067.1609069"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1613\/jair.4272","article-title":"Sentiment analysis of short informal texts[J]","author":"kiritchenko","year":"2014","journal-title":"Journal of Artificial Intelligence Research"},{"year":"2002","author":"tumey","article-title":"Unsupervised learning of semantic orientation from a hundred-billion-word corpus[J]","key":"ref22"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/j.dss.2013.08.002"},{"year":"2015","author":"b\u00fcchner","article-title":"Webis: An Ensemble for Twitter Sentiment Detection[J]","key":"ref24"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1007\/11564126_27"},{"year":"2015","author":"kolchyna","article-title":"Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination[J]. arXiv preprint arXiv:1507.00955","key":"ref26"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.3115\/1225403.1225421"}],"event":{"name":"2016 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2016,7,24]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2016,7,29]]}},"container-title":["2016 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7593175\/7726591\/07727792.pdf?arnumber=7727792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,15]],"date-time":"2019-09-15T11:21:02Z","timestamp":1568546462000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7727792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2016.7727792","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}