-
2
-
-
78649842272
-
Predicting the future with social media
-
WI-IAT 10 , Washington DC, USA IEEE Computer Society
-
Sitaram Asur and Bernardo A. Huberman. 2010. Predicting the future with social media. In Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology -Volume 01, WI-IAT 10, pages 492-499, Washington, DC, USA. IEEE Computer Society.
-
(2011)
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology -01
, pp. 492-499
-
-
Asur, S.1
Huberman, B.A.2
-
3
-
-
84926227862
-
Broadly improving user classification via communication-based name and location clustering on Twitter
-
Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, and David Yarowsky. 2013. Broadly improving user classification via communication-based name and location clustering on Twitter. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1010-1019.
-
(2013)
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
, pp. 1010-1019
-
-
Bergsma, S.1
Dredze, M.2
Van Durme, B.3
Wilson, T.4
Yarowsky, D.5
-
4
-
-
84891941337
-
National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic
-
David Broniatowski, Michael J. Paul, and Mark Dredze. 2013. National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic. PLoS ONE, 8(12):e83672.
-
(2013)
PLoS ONE
, vol.8
, Issue.12
, pp. e83672
-
-
Broniatowski, D.1
Paul, M.J.2
Dredze, M.3
-
5
-
-
84937275232
-
Assessing agreement on classification tasks: The kappa statistic
-
Jean Carletta. 1996. Assessing agreement on classification tasks: the kappa statistic. Computational linguistics, 22(2):249-254.
-
(1996)
Computational Linguistics
, vol.22
, Issue.2
, pp. 249-254
-
-
Carletta, J.1
-
6
-
-
72849140260
-
Google trends: A web-based tool for real-Time surveillance of disease outbreaks
-
Herman Anthony Carneiro and Eleftherios Mylonakis. 2009. Google trends: a web-based tool for real-Time surveillance of disease outbreaks. Clinical Infectious Diseases, 49(10):1557-1564.
-
(2009)
Clinical Infectious Diseases
, vol.49
, Issue.10
, pp. 1557-1564
-
-
Anthony Carneiro, H.1
Mylonakis, E.2
-
8
-
-
84864693118
-
Uncovering text mining: A survey of current work on web-based epidemic intelligence. Global Public Health
-
Nigel Collier. 2012. Uncovering text mining: a survey of current work on web-based epidemic intelligence. Global Public Health: An International Journal for Research, Policy and Practice, 7(7):731-749.
-
(2012)
An International Journal for Research, Policy and Practice
, vol.7
, Issue.7
, pp. 731-749
-
-
Collier, N.1
-
12
-
-
84891813761
-
Influenza-like illness surveillance on Twitter through automated learning of nave language
-
Francesco Gesualdo, Giovanni Stilo, Eleonora Agricola, Michaela V. Gonfiantini, Elisabetta Pandolfi, Paola Velardi, and Alberto E. Tozzi. 2013. Influenza-like illness surveillance on Twitter through automated learning of nave language. PLoS One, 8(12):e82489.
-
(2013)
PLoS One
, vol.8
, Issue.12
, pp. e82489
-
-
Gesualdo, F.1
Stilo, G.2
Agricola, E.3
Gonfiantini, M.V.4
Pandolfi, E.5
Velardi, P.6
Tozzi, A.E.7
-
13
-
-
83255189974
-
Part-of-speech tagging for Twitter: Annotation, features, and experiments
-
Kevin Gimpel, Nathan Schneider, Brendan OConnor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith. 2011. Part-of-speech tagging for Twitter: Annotation, features, and experiments. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 42-47.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, pp. 42-47
-
-
Gimpel, K.1
Schneider, N.2
Oconnor, B.3
Das, D.4
Mills, D.5
Eisenstein, J.6
Heilman, M.7
Yogatama, D.8
Flanigan, J.9
Smith, N.A.10
-
20
-
-
84896056107
-
The parable of Google flu: Traps in big data analysis
-
David Lazer, Ryan Kennedy, Gary King, and Alessandro Vespignani. 2014. The parable of Google flu: Traps in big data analysis. Science, 343(6176):1203-1205.
-
(2014)
Science
, vol.343
, Issue.6176
, pp. 1203-1205
-
-
Lazer, D.1
Kennedy, R.2
King, G.3
Vespignani, A.4
-
24
-
-
33750727188
-
The nombank project: An interim report
-
Adam Meyers, Ruth Reeves, Catherine Macleod, Rachel Szekely, Veronika Zielinska, Brian Young, and Ralph Grishman. 2004. The NomBank Project: An interim report. In Proceedings of the NAACL/HLT Workshop on Frontiers in Corpus Annotation, pages 24-31.
-
(2004)
Proceedings of the NAACL/HLT Workshop on Frontiers in Corpus Annotation
, pp. 24-31
-
-
Meyers, A.1
Reeves, R.2
Macleod, C.3
Szekely, R.4
Zielinska, V.5
Young, B.6
Grishman, R.7
-
25
-
-
84890614558
-
From tweets to polls: Linking text sentiment to public opinion time series
-
Brendan OConnor, Ramnath Balasubramanyan, Bryan R. Routledge, , and Noah A. Smith. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM), pages 122-129.
-
(2011)
Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM)
, pp. 122-129
-
-
Oconnor, B.1
Balasubramanyan, R.2
Routledge, B.R.3
Smith, N.A.4
-
26
-
-
33645983416
-
The Proposition Bank: An annotated corpus of semantic roles
-
Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005. The Proposition Bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1):71-106.
-
(2005)
Computational Linguistics
, vol.31
, Issue.1
, pp. 71-106
-
-
Palmer, M.1
Gildea, D.2
Kingsbury, P.3
-
28
-
-
84943800377
-
Adapting taggers to Twitter with not-so-distant supervision
-
Barbara Plank, Dirk Hovy, Ryan McDonald, and Anders Sgaard. 2014. Adapting taggers to Twitter with not-so-distant supervision. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 1783-1792.
-
(2014)
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
, pp. 1783-1792
-
-
Plank, B.1
Hovy, D.2
McDonald, R.3
Sgaard, A.4
-
33
-
-
84906932179
-
Exploiting topic based Twitter sentiment for stock prediction
-
Short Papers
-
Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, and Xiaotie Deng. 2013. Exploiting topic based Twitter sentiment for stock prediction. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 24-29.
-
(2013)
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics
, vol.2
, pp. 24-29
-
-
Si, J.1
Mukherjee, A.2
Liu, B.3
Li, Q.4
Li, H.5
Deng, X.6
-
34
-
-
79955757514
-
The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic
-
Alessio Signorini, Alberto Maria Segre, and Philip M. Polgreen. 2011. The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS ONE, 6(5):e19467.
-
(2011)
PLoS ONE
, vol.6
, Issue.5
, pp. e19467
-
-
Signorini, A.1
Maria Segre, A.2
Polgreen, P.M.3
-
35
-
-
84900839676
-
Making the most of a brave new world: Opportunities and considerations for using Twitter as a public health monitoring tool
-
Mark A. Stoov and Alisa E. Pedrana. 2014. Making the most of a brave new world: Opportunities and considerations for using Twitter as a public health monitoring tool. Preventive Medicine, 63:109-111.
-
(2014)
Preventive Medicine
, vol.63
, pp. 109-111
-
-
Stoov, M.A.1
Pedrana, A.E.2
-
37
-
-
84907011380
-
Aid is out there: Looking for help from tweets during a large scale disaster
-
Long Papers
-
István Varga, Motoki Sano, Kentaro Torisawa, Chikara Hashimoto, Kiyonori Ohtake, Takao Kawai, Jong-Hoon Oh, and Stijn De Saeger. 2013. Aid is out there: Looking for help from tweets during a large scale disaster. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1619-1629.
-
(2013)
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics
, vol.1
, pp. 1619-1629
-
-
Varga, I.1
Sano, M.2
Torisawa, K.3
Hashimoto, C.4
Ohtake, K.5
Kawai, T.6
Oh, J.7
De Saeger, S.8
-
38
-
-
84904296459
-
Twitter mining for finegrained syndromic surveillance
-
Paola Velardi, Giovanni Stilo, Alberto E. Tozzi, and Francesco Gesualdo. 2014. Twitter mining for finegrained syndromic surveillance. Artificial Intelligence in Medicine, 61(3):153-163.
-
(2014)
Artificial Intelligence in Medicine
, vol.61
, Issue.3
, pp. 153-163
-
-
Velardi, P.1
Stilo, G.2
Tozzi, A.E.3
Gesualdo, F.4
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