-
2
-
-
85126984607
-
Political polarization on twitter
-
Conover, M.; Ratkiewicz, J.; Francisco, M.; Gonçalves, B.; Menczer, F.; & Flammini, A. (2011). Political polarization on twitter. In ICWSM.
-
(2011)
ICWSM
-
-
Conover, M.1
Ratkiewicz, J.2
Francisco, M.3
Gonçalves, B.4
Menczer, F.5
Flammini, A.6
-
3
-
-
84874694196
-
Automatic normalization of short texts by combining statistical and rule-based techniques
-
M.R. Costa-Jussa, and R.E. Banchs Automatic normalization of short texts by combining statistical and rule-based techniques Language Resources and Evaluation 47 2013 179 193
-
(2013)
Language Resources and Evaluation
, vol.47
, pp. 179-193
-
-
Costa-Jussa, M.R.1
Banchs, R.E.2
-
5
-
-
84926139009
-
What to do about bad language on the internet
-
Eisenstein, J. (2013). What to do about bad language on the internet. In Proceedings of NAACL-HLT (pp. 359-369).
-
(2013)
Proceedings of NAACL-HLT
, pp. 359-369
-
-
Eisenstein, J.1
-
7
-
-
84879489078
-
Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
-
M. Ghiassi, J. Skinner, and D. Zimbra Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network Expert Systems with Applications 40 2013 6266 6282
-
(2013)
Expert Systems with Applications
, vol.40
, pp. 6266-6282
-
-
Ghiassi, M.1
Skinner, J.2
Zimbra, D.3
-
11
-
-
84873834137
-
Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on twitter
-
I. Himelboim, S. McCreery, and M. Smith Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on twitter Journal of Computer-Mediated Communication 18 2013 40 60
-
(2013)
Journal of Computer-Mediated Communication
, vol.18
, pp. 40-60
-
-
Himelboim, I.1
McCreery, S.2
Smith, M.3
-
12
-
-
84883054498
-
Twitter user profiling based on text and community mining for market analysis
-
K. Ikeda, G. Hattori, C. Ono, H. Asoh, and T. Higashino Twitter user profiling based on text and community mining for market analysis Knowledge-Based Systems 51 2013 35 47
-
(2013)
Knowledge-Based Systems
, vol.51
, pp. 35-47
-
-
Ikeda, K.1
Hattori, G.2
Ono, C.3
Asoh, H.4
Higashino, T.5
-
15
-
-
84874648289
-
Detecting malicious tweets in trending topics using a statistical analysis of language
-
J. Martinez-Romo, and L. Araujo Detecting malicious tweets in trending topics using a statistical analysis of language Expert Systems with Applications 40 2013 2992 3000
-
(2013)
Expert Systems with Applications
, vol.40
, pp. 2992-3000
-
-
Martinez-Romo, J.1
Araujo, L.2
-
16
-
-
84875371748
-
More than words: Social networks' text mining for consumer brand sentiments
-
M.M. Mostafa More than words: Social networks' text mining for consumer brand sentiments Expert Systems with Applications 40 2013 4241 4251
-
(2013)
Expert Systems with Applications
, vol.40
, pp. 4241-4251
-
-
Mostafa, M.M.1
-
17
-
-
85086713961
-
A character-level machine translation approach for normalizationof sms abbreviations
-
Pennell, D.; & Liu, Y. (2011). A character-level machine translation approach for normalizationof sms abbreviations. In IJCNLP (pp. 974-982).
-
(2011)
IJCNLP
, pp. 974-982
-
-
Pennell, D.1
Liu, Y.2
-
19
-
-
84923810648
-
We Word normalization in twitter using finite-state transducers
-
Sociedad Española para el Procesamiento del Lenguaje Natural
-
Porta, J.; & Sancho, J.L. (2013). Word normalization in twitter using finite-state transducers. In Proceedings of the tweet normalization workshop at SEPLN 2013. Sociedad Española para el Procesamiento del Lenguaje Natural.
-
(2013)
Proceedings of the Tweet Normalization Workshop at SEPLN 2013
-
-
Porta, J.1
Sancho J. ., L.2
-
21
-
-
84856043672
-
A mathematical theory of communication
-
C.E. Shannon A mathematical theory of communication Bell System Technical Journal 4 1948 379 423
-
(1948)
Bell System Technical Journal
, vol.4
, pp. 379-423
-
-
Shannon, C.E.1
-
23
-
-
84890668120
-
Predicting elections with twitter: What 140 characters reveal about political sentiment
-
A. Tumasjan, T.O. Sprenger, P.G. Sandner, and I.M. Welpe Predicting elections with twitter: What 140 characters reveal about political sentiment ICWSM 10 2010 178 185
-
(2010)
ICWSM
, vol.10
, pp. 178-185
-
-
Tumasjan, A.1
Sprenger, T.O.2
Sandner, P.G.3
Welpe, I.M.4
-
24
-
-
84906932085
-
A log-linear model for unsupervised text normalization
-
Yang, Y.; & Eisenstein, J. (2013). A log-linear model for unsupervised text normalization. In EMNLP (pp. 61-72).
-
(2013)
EMNLP
, pp. 61-72
-
-
Yang, Y.1
Eisenstein, J.2
|