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Online forums and social media platforms provide noisy but valuable data every day.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019 · 1906
Earlier work this paper cites.
Term-weighting approaches in automatic text retrieval
Gerard Salton and Christopher Buckley. 1988 · 1988
Earlier work this paper cites.
Indexing by latent semantic analysis
Scott Deerwester, Susan T Dumais, George W Furnas, Thomas K Landauer, and Richard Harshman. 1990 · 1990
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
MBTI manual: A guide to the development and use of the Myers-Briggs Type Indicator , volume 3
Isabel Briggs Myers, Mary H McCaulley, Naomi L Quenk, and Allen L Hammer. 1998 · 1998
Earlier work this paper cites.
Latent dirichlet allocation
David M Blei, Andrew Y Ng, and Michael I Jordan. 2003 · 2003
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Short and tweet: experiments on recommending content from information streams
Jilin Chen, Rowan Nairn, Les Nelson, Michael Bernstein, and Ed Chi. 2010 · 2010
Earlier work this paper cites.
Empirical study of topic modeling in twitter
Liangjie Hong and Brian D Davison. 2010 · 2010
Earlier work this paper cites.
Discovering users’ topics of interest on twitter: a first look
Matthew Michelson and Sofus A Macskassy. 2010 · 2010
Earlier work this paper cites.
Analyzing user modeling on twitter for personalized news recommendations
Fabian Abel, Qi Gao, Geert-Jan Houben, and Ke Tao. 2011 · 2011
Earlier work this paper cites.
Sentiment classification based on supervised latent n-gram analysis
Dmitriy Bespalov, Bing Bai, Yanjun Qi, and Ali Shokoufandeh. 2011 · 2011
Earlier work this paper cites.
A machine learning approach to twitter user classification
Marco Pennacchiotti and Ana-Maria Popescu. 2011 · 2011
Earlier work this paper cites.
Modeling user posting behavior on social media
Zhiheng Xu, Yang Zhang, Yao Wu, and Qing Yang. 2012 · 2012
Earlier work this paper cites.
Language independent gender classification on twitter
Jalal S Alowibdi, Ugo A Buy, and Philip Yu. 2013 · 2013
Earlier work this paper cites.
Private traits and attributes are predictable from digital records of human behavior
Michal Kosinski, David Stillwell, and Thore Graepel. 2013 · 2013
Cited alongside, same era.
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Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
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H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin EP Seligman, et al. 2013 · 2013
Cited alongside, same era.
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Later among the works it cites.
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Tianran Hu, Haoyuan Xiao, Jiebo Luo, and Thuy-vy Thi Nguyen. 2016 · 2016
Later among the works it cites.
Gender inference using statistical name characteristics in twitter
Juergen Mueller and Gerd Stumme. 2016 · 2016
Later among the works it cites.
Towards early discovery of salient health threats: A social media emotion classification technique
Bahadorreza Ofoghi, Meghan Mann, and Karin Verspoor. 2016 · 2016
Later among the works it cites.
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Later among the works it cites.
User embedding for scholarly microblog recommendation
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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