Social Tendency Prediction on Twitter: Literature Survey
作者： Islam Mayda
DOI: 10.1109/UBMK.2019.8907193
关键词:
摘要: Today, social media has become an inseparable part of our lives. Billions people create accounts and contact with other users make sharing in sites. One the most popular sites is Twitter. By analyzing data shared by networks like Twitter, it becomes possible to extract information on various topics. Numerous academic studies have been published this framework. In study, a literature survey tendency researches Twitter was done recent years. The methods that are generally used summarized sample presented under intensively studied
sci-hub.se 参考文章(19)
Derek Ruths, Raviv Cohen, Classifying Political Orientation on Twitter: It’s Not Easy! international conference on weblogs and social media. ,(2013)
Rachel L. Goldfeder, Kimberly McManus, Winston A. Haynes, Emily K. Mallory, Jonathan D. Tatum, Mining Twitter Data to Improve Detection of Schizophrenia. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. ,vol. 2015, pp. 122- 126 ,(2015)
Rishi Singh, Rajdeep Niyogi, A technique for associating political alignment to users advances in computing and communications. pp. 251- 257 ,(2015) , 10.1109/ICACCI.2015.7275617
Taylor M. Wickel, Narcissism and Social Networking Sites: The Act of Taking Selfies The Journal of Undergraduate Research. ,vol. 6, ,(2015)
Hajime Sueki, The association of suicide-related Twitter use with suicidal behaviour: A cross-sectional study of young internet users in Japan Journal of Affective Disorders. ,vol. 170, pp. 155- 160 ,(2015) , 10.1016/J.JAD.2014.08.047
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner, Using Twitter Content to Predict Psychopathy international conference on machine learning and applications. ,vol. 2, pp. 394- 401 ,(2012) , 10.1109/ICMLA.2012.228
Sedef Gunduz, Uraz Yavanoglu, Seref Sagiroglu, None, Predicting Next Location of Twitter Users for Surveillance international conference on machine learning and applications. ,vol. 2, pp. 267- 273 ,(2013) , 10.1109/ICMLA.2013.134
Jennifer Golbeck, Derek Hansen, A method for computing political preference among Twitter followers Social Networks. ,vol. 36, pp. 177- 184 ,(2014) , 10.1016/J.SOCNET.2013.07.004
Sho Tsugawa, Yusuke Kikuchi, Fumio Kishino, Kosuke Nakajima, Yuichi Itoh, Hiroyuki Ohsaki, Recognizing Depression from Twitter Activity human factors in computing systems. pp. 3187- 3196 ,(2015) , 10.1145/2702123.2702280
Bridianne O'Dea, Stephen Wan, Philip J. Batterham, Alison L. Calear, Cecile Paris, Helen Christensen, Detecting suicidality on Twitter Internet Interventions. ,vol. 2, pp. 183- 188 ,(2015) , 10.1016/J.INVENT.2015.03.005