-
1
-
-
80053290412
-
Twitter catches the flu: Detecting influenza epidemics using twitter
-
Edinburgh, Scotland, UK., July. Association for Computational Linguistics
-
Eiji Aramaki, Sachiko Maskawa, and Mizuki Morita. 2011. Twitter catches the flu: Detecting influenza epidemics using twitter. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 1568-1576, Edinburgh, Scotland, UK., July. Association for Computational Linguistics.
-
(2011)
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
, pp. 1568-1576
-
-
Aramaki, E.1
Maskawa, S.2
Morita, M.3
-
2
-
-
79959288350
-
An unsupervised aspect-sentiment model for online reviews
-
Stroudsburg, PA, USA. Association for Computational Linguistics
-
Samuel Brody and Noemie Elhadad. 2010. An unsupervised aspect-sentiment model for online reviews. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10, pages 804-812, Stroudsburg, PA, USA. Association for Computational Linguistics.
-
(2010)
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10
, pp. 804-812
-
-
Brody, S.1
Elhadad, N.2
-
4
-
-
50949133669
-
Liblinear: A library for large linear classification
-
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. 2008. Liblinear: A library for large linear classification. The Journal of Machine Learning Research, 9:1871-1874.
-
(2008)
The Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
-
5
-
-
84890721055
-
Distributional footprints of deceptive product reviews
-
Song Feng, Longfei Xing, Anupam Gogar, and Yejin Choi. 2012. Distributional footprints of deceptive product reviews. In ICWSM.
-
(2012)
ICWSM
-
-
Feng, S.1
Xing, L.2
Gogar, A.3
Choi, Y.4
-
6
-
-
78751701935
-
The use of restaurant inspection disclosure systems as a means of communicating food safety information
-
Katie Filion and Douglas A Powell. 2009. The use of restaurant inspection disclosure systems as a means of communicating food safety information. Journal of Foodservice, 20(6):287-297.
-
(2009)
Journal of Foodservice
, vol.20
, Issue.6
, pp. 287-297
-
-
Filion, K.1
Powell, D.A.2
-
7
-
-
33749840497
-
Consumer assessment of the safety of restaurants: The role of inspection notices and other information cues
-
Spencer Henson, Shannon Majowicz, Oliver Masakure, Paul Sockett, Anria Johnes, Robert Hart, Debora Carr, and Lewinda Knowles. 2006. Consumer assessment of the safety of restaurants: The role of inspection notices and other information cues. Journal of Food Safety, 26(4):275-301.
-
(2006)
Journal of Food Safety
, vol.26
, Issue.4
, pp. 275-301
-
-
Henson, S.1
Majowicz, S.2
Masakure, O.3
Sockett, P.4
Johnes, A.5
Hart, R.6
Carr, D.7
Knowles, L.8
-
8
-
-
0037677802
-
The effect of information on product quality: Evidence from restaurant hygiene grade cards
-
Ginger Zhe Jin and Phillip Leslie. 2003. The effect of information on product quality: Evidence from restaurant hygiene grade cards. The Quarterly Journal of Economics, 118(2):409-451.
-
(2003)
The Quarterly Journal of Economics
, vol.118
, Issue.2
, pp. 409-451
-
-
Jin, G.Z.1
Leslie, P.2
-
12
-
-
78751488851
-
The lie detector: Explorations in the automatic recognition of deceptive language
-
Suntec, Singapore, August. Association for Computational Linguistics
-
Rada Mihalcea and Carlo Strapparava. 2009. The lie detector: Explorations in the automatic recognition of deceptive language. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 309-312, Suntec, Singapore, August. Association for Computational Linguistics.
-
(2009)
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
, pp. 309-312
-
-
Mihalcea, R.1
Strapparava, C.2
-
14
-
-
83255191401
-
Finding deceptive opinion spam by any stretch of the imagination
-
Portland, Oregon, USA, June. Association for Computational Linguistics
-
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T. Hancock. 2011. Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 309-319, Portland, Oregon, USA, June. Association for Computational Linguistics.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, pp. 309-319
-
-
Ott, M.1
Choi, Y.2
Cardie, C.3
Hancock, J.T.4
-
17
-
-
84871981836
-
Modeling spread of disease from social interactions
-
John G. Breslin, Nicole B. Ellison, James G. Shanahan, and Zeynep Tufekci, editors The AAAI Press
-
Adam Sadilek, Henry A. Kautz, and Vincent Silenzio. 2012b. Modeling spread of disease from social interactions. In John G. Breslin, Nicole B. Ellison, James G. Shanahan, and Zeynep Tufekci, editors, ICWSM. The AAAI Press.
-
(2012)
ICWSM
-
-
Sadilek, A.1
Kautz, H.A.2
Silenzio, V.3
-
19
-
-
84859906262
-
A joint model of text and aspect ratings for sentiment summarization
-
Columbus, Ohio, June. Association for Computational Linguistics
-
Ivan Titov and Ryan McDonald. 2008. A joint model of text and aspect ratings for sentiment summarization. In Proceedings of ACL-08: HLT, pages 308-316, Columbus, Ohio, June. Association for Computational Linguistics.
-
(2008)
Proceedings of ACL-08: HLT
, pp. 308-316
-
-
Titov, I.1
McDonald, R.2
-
20
-
-
80052776215
-
Assessment of utility in web mining for the domain of public health
-
Los Angeles, California, USA, June. Association for Computational Linguistics
-
Peter von Etter, Silja Huttunen, Arto Vihavainen, Matti Vuorinen, and Roman Yangarber. 2010. Assessment of utility in web mining for the domain of public health. In Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents, pages 29-37, Los Angeles, California, USA, June. Association for Computational Linguistics.
-
(2010)
Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
, pp. 29-37
-
-
Von Etter, P.1
Huttunen, S.2
Vihavainen, A.3
Vuorinen, M.4
Yangarber, R.5
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