-
1
-
-
84858264441
-
The revolutions were tweeted: Information flows during the 2011 tunisian and egyptian revolutions
-
G. Lotan, E. Graeff, M. Ananny, D. Gaffney, I. Pearce, and D. Boyd, "The revolutions were tweeted: Information flows during the 2011 tunisian and egyptian revolutions," International Journal of Communications, vol. 5, pp. 1375-1405, 2011.
-
(2011)
International Journal of Communications
, vol.5
, pp. 1375-1405
-
-
Lotan, G.1
Graeff, E.2
Ananny, M.3
Gaffney, D.4
Pearce, I.5
Boyd, D.6
-
3
-
-
84870398813
-
Partisan asymmetries in online political activity
-
M. D. Conover, B. Gonc?alves, A. Flammini, and F. Menczer, "Partisan asymmetries in online political activity," EPJ Data Science, vol. 1, no. 1, pp. 1-19, 2012.
-
(2012)
EPJ Data Science
, vol.1
, Issue.1
, pp. 1-19
-
-
Conover, M.D.1
Goncalves, B.2
Flammini, A.3
Menczer, F.4
-
4
-
-
85157210699
-
Limits of electoral predictions using twitter
-
D. Gayo-Avello, P. T. Metaxas, and E. Mustafaraj, "Limits of electoral predictions using twitter," in ICWSM, vol. 21, 2011, p. 2011.
-
(2011)
ICWSM
, vol.21
, pp. 2011
-
-
Gayo-Avello, D.1
Metaxas, P.T.2
Mustafaraj, E.3
-
5
-
-
79958234381
-
-
United States Institute of Peace, Tech. Rep.
-
S. Aday, H. Farrel, M. Lynch, J. Sides, J. Kelly, and E. Zuckerman, "Blogs and bullets: New media in contentious politics," United States Institute of Peace, Tech. Rep., 2010.
-
(2010)
Blogs and Bullets: New Media in Contentious Politics
-
-
Aday, S.1
Farrel, H.2
Lynch, M.3
Sides, J.4
Kelly, J.5
Zuckerman, E.6
-
6
-
-
70349529656
-
Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
-
T. Wilson, J. Wiebe, and P. Hoffmann, "Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis," Computational Linguistics, vol. 35, no. 3, pp. 399-433, 2009.
-
(2009)
Computational Linguistics
, vol.35
, Issue.3
, pp. 399-433
-
-
Wilson, T.1
Wiebe, J.2
Hoffmann, P.3
-
7
-
-
85034054192
-
Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
-
A. E. S. Baccianella and F. Sebastiani, "Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining," in LREC, 2010.
-
(2010)
LREC
-
-
Baccianella, A.E.S.1
Sebastiani, F.2
-
8
-
-
0003307180
-
Estimating the generalization performance of an svm efficiently
-
Morgan Kaufman
-
T. Joachims, "Estimating the generalization performance of an svm efficiently," in ICML. Morgan Kaufman, 2000, pp. 431-438.
-
(2000)
ICML
, pp. 431-438
-
-
Joachims, T.1
-
9
-
-
77951739184
-
Tweet, tweet, retweet: Conversational aspects of retweeting on twitter
-
IEEE
-
D. Boyd, S. Golder, and G. Lotan, "Tweet, tweet, retweet: Conversational aspects of retweeting on twitter," in System Sciences (HICSS). IEEE, 2010, pp. 1-10.
-
(2010)
System Sciences (HICSS)
, pp. 1-10
-
-
Boyd, D.1
Golder, S.2
Lotan, G.3
-
10
-
-
36549082310
-
What do bloggers do: An average day on an average political blog
-
L. McKenna and A. Pole, "What do bloggers do: an average day on an average political blog," Public Choice, vol. 134, no. 1-2, pp. 97-108, 2008.
-
(2008)
Public Choice
, vol.134
, Issue.1-2
, pp. 97-108
-
-
McKenna, L.1
Pole, A.2
-
11
-
-
84890740852
-
On the study of social interactions in twitter
-
S. A. Macskassy, "On the study of social interactions in twitter," in ICWSM, 2012.
-
(2012)
ICWSM
-
-
Macskassy, S.A.1
-
13
-
-
80052663073
-
User-level sentiment analysis incorporating social networks
-
C. Tan, L. Lee, J. Tang, L. Jiang, M. Zhou, and P. Li, "User-level sentiment analysis incorporating social networks," in KDD, 2011, pp. 1397-1405.
-
(2011)
KDD
, pp. 1397-1405
-
-
Tan, C.1
Lee, L.2
Tang, J.3
Jiang, L.4
Zhou, M.5
Li, P.6
-
14
-
-
85141803251
-
Thumbs up?: Sentiment classification using machine learning techniques
-
B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up?: sentiment classification using machine learning techniques," in ACL 02, 2002, pp. 79-86.
-
(2002)
ACL 02
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
15
-
-
38549150722
-
Predicting the political sentiment of web log posts using supervised machine learning techniques coupled with feature selection
-
Springer
-
K. T. Durant and M. D. Smith, "Predicting the political sentiment of web log posts using supervised machine learning techniques coupled with feature selection," in Advances in Web Mining and Web Usage Analysis. Springer, 2007, pp. 187-206.
-
(2007)
Advances in Web Mining and Web Usage Analysis
, pp. 187-206
-
-
Durant, K.T.1
Smith, M.D.2
-
16
-
-
70350645448
-
Sentiment analysis of blogs by combining lexical knowledge with text classification
-
P. Melville, W. Gryc, and R. D. Lawrence, "Sentiment analysis of blogs by combining lexical knowledge with text classification," in KDD, 2009, pp. 1275-1284.
-
(2009)
KDD
, pp. 1275-1284
-
-
Melville, P.1
Gryc, W.2
Lawrence, R.D.3
-
17
-
-
80053418268
-
Robust sentiment detection on twitter from biased and noisy data
-
L. Barbosa and J. Feng, "Robust sentiment detection on twitter from biased and noisy data," in COLING, 2010, pp. 36-44.
-
(2010)
COLING
, pp. 36-44
-
-
Barbosa, L.1
Feng, J.2
-
18
-
-
79953762206
-
Twitter sentiment classification using distant supervision
-
A. Go, R. Bhayani, and L. Huang, "Twitter sentiment classification using distant supervision," Technical report, pp. 1-6, 2009.
-
(2009)
Technical Report
, pp. 1-6
-
-
Go, A.1
Bhayani, R.2
Huang, L.3
-
19
-
-
85121835958
-
Random walk weighting over sentiwordnet for sentiment polarity detection on twitter
-
A. Montejo-Ráez, E. Martínez-Cámara, M. T. Martín-Valdivia, and L. A. Ureña López, "Random walk weighting over sentiwordnet for sentiment polarity detection on twitter," in WASSA, 2012, pp. 3-10.
-
(2012)
WASSA
, pp. 3-10
-
-
Montejo-Ráez, A.1
Martínez-Cámara, E.2
Martín-Valdivia, M.T.3
Ureña López, L.A.4
-
20
-
-
84893144737
-
Unsupervised sentiment analysis with emotional signals
-
X. Hu, J. Tang, H. Gao, and H. Liu, "Unsupervised sentiment analysis with emotional signals," in WWW, 2013.
-
(2013)
WWW
-
-
Hu, X.1
Tang, J.2
Gao, H.3
Liu, H.4
-
21
-
-
80053291743
-
Enhanced sentiment learning using twitter hashtags and smileys
-
D. Davidov, O. Tsur, and A. Rappoport, "Enhanced sentiment learning using twitter hashtags and smileys," in COLING, 2010, pp. 241-249.
-
(2010)
COLING
, pp. 241-249
-
-
Davidov, D.1
Tsur, O.2
Rappoport, A.3
-
22
-
-
84856164136
-
Predicting the political alignment of twitter users
-
IEEE
-
M. D. Conover, B. Gonc?alves, J. Ratkiewicz, A. Flammini, and F. Menczer, "Predicting the political alignment of twitter users," in SocialCom. IEEE, 2011, pp. 192-199.
-
(2011)
SocialCom
, pp. 192-199
-
-
Conover, M.D.1
Goncalves, B.2
Ratkiewicz, J.3
Flammini, A.4
Menczer, F.5
-
23
-
-
84856145630
-
Vocal minority versus silent majority: Discovering the opionions of the long tail
-
IEEE
-
E. Mustafaraj, S. Finn, C. Whitlock, and P. T. Metaxas, "Vocal minority versus silent majority: Discovering the opionions of the long tail," in SocialCom. IEEE, 2011, pp. 103-110.
-
(2011)
SocialCom
, pp. 103-110
-
-
Mustafaraj, E.1
Finn, S.2
Whitlock, C.3
Metaxas, P.T.4
-
25
-
-
84890614558
-
From tweets to polls: Linking text sentiment to public opinion time series
-
B. OConnor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith, "From tweets to polls: Linking text sentiment to public opinion time series," in ICWSM, 2010, pp. 122-129.
-
(2010)
ICWSM
, pp. 122-129
-
-
Oconnor, B.1
Balasubramanyan, R.2
Routledge, B.R.3
Smith, N.A.4
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