-
1
-
-
84856343452
-
Sentiment analysis of twitter data
-
In Stroudsburg, PA, USA. Association for Computational Linguistics
-
Apoorv Agarwal, Boyi Xie, Ilia Vovsha, Owen Rambow, and Rebecca Passonneau. 2011. Sentiment analysis of twitter data. In Proceedings of the Workshop on Languages in Social Media, LSM’11, pages 30–38, Stroudsburg, PA, USA. Association for Computational Linguistics.
-
(2011)
Proceedings of The Workshop on Languages in Social Media, LSM’11
, pp. 30-38
-
-
Agarwal, A.1
Xie, B.2
Vovsha, I.3
Rambow, O.4
Passonneau, R.5
-
2
-
-
80053291743
-
Enhanced sentiment learning using twitter hashtags and smileys
-
In Stroudsburg, PA, USA. Association for Computational Linguistics
-
Dmitry Davidov, Oren Tsur, and Ari Rappoport. 2010. Enhanced sentiment learning using twitter hashtags and smileys. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, COLING’10, pages 241–249, Stroudsburg, PA, USA. Association for Computational Linguistics.
-
(2010)
Proceedings of The 23rd International Conference on Computational Linguistics: Posters, COLING’10
, pp. 241-249
-
-
Davidov, D.1
Tsur, O.2
Rappoport, A.3
-
4
-
-
77954168866
-
Characterizing debate performance via aggregated twitter sentiment
-
In New York, NY, USA. ACM
-
Nicholas A. Diakopoulos and David A. Shamma. 2010. Characterizing debate performance via aggregated twitter sentiment. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’10, pages 1195–1198, New York, NY, USA. ACM.
-
(2010)
Proceedings of The SIGCHI Conference on Human Factors in Computing Systems, CHI ’10
, pp. 1195-1198
-
-
Diakopoulos, N.A.1
Shamma, D.A.2
-
5
-
-
43449135033
-
Why we twitter: Understanding microblogging usage and communities
-
In New York, NY, USA. ACM
-
Akshay Java, Xiaodan Song, Tim Finin, and Belle Tseng. 2007. Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, WebKDD/SNA-KDD ’07, pages 56–65, New York, NY, USA. ACM.
-
(2007)
Proceedings of The 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, WebKDD/SNA-KDD ’07
, pp. 56-65
-
-
Java, A.1
Song, X.2
Finin, T.3
Tseng, B.4
-
6
-
-
33749555540
-
Reducing the human overhead in text categorization
-
In New York, NY, USA. ACM
-
Arnd Christian König and Eric Brill. 2006. Reducing the human overhead in text categorization. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD ’06, pages 598–603, New York, NY, USA. ACM.
-
(2006)
Proceedings of The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’06
, pp. 598-603
-
-
König, A.C.1
Brill, E.2
-
7
-
-
77954619566
-
What is twitter, a social network or a news media?
-
In New York, NY, USA. ACM
-
Haewoon Kwak, Changhyun Lee, Hosung Park, and Sue Moon. 2010. What is twitter, a social network or a news media? In Proceedings of the 19th international conference on World wide web, WWW’10, pages 591–600, New York, NY, USA. ACM.
-
(2010)
Proceedings of The 19th International Conference on World Wide Web, WWW’10
, pp. 591-600
-
-
Kwak, H.1
Lee, C.2
Park, H.3
Moon, S.4
-
8
-
-
85141803251
-
Thumbs up? Sentiment Classification using Machine Learning Techniques
-
In Morristown, NJ, USA, July. Association for Computational Linguistics
-
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment Classification using Machine Learning Techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP’02, pages 79–86, Morristown, NJ, USA, July. Association for Computational Linguistics.
-
(2002)
Proceedings of The ACL-02 Conference on Empirical Methods in Natural Language Processing - EMNLP’02
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
9
-
-
62349089279
-
Sentiment analysis: A combined approach
-
Rudy Prabowo and Mike Thelwall. 2009. Sentiment analysis: A combined approach. Journal of Informet-rics, 3(2):143–157.
-
(2009)
Journal of Informet-Rics
, vol.3
, Issue.2
, pp. 143-157
-
-
Prabowo, R.1
Thelwall, M.2
-
10
-
-
79958257877
-
Lexicon-Based Methods for Sentiment Analysis
-
): June
-
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, 37(2):267–307, June.
-
(2011)
Computational Linguistics
, vol.37
, Issue.2
, pp. 267-307
-
-
Taboada, M.1
Brooke, J.2
Tofiloski, M.3
Voll, K.4
Stede, M.5
-
11
-
-
78449308783
-
Sentiment in short strength detection informal text
-
): December
-
Mike Thelwall, Kevan Buckley, Georgios Paltoglou, Di Cai, and Arvid Kappas. 2010. Sentiment in short strength detection informal text. Journal of the American Society for Information Science and Technology, 61(12):2544–2558, December.
-
(2010)
Journal of The American Society for Information Science and Technology
, vol.61
, Issue.12
, pp. 2544-2558
-
-
Thelwall, M.1
Buckley, K.2
Paltoglou, G.3
Cai, D.4
Kappas, A.5
-
12
-
-
84890496552
-
SemEval-2013 task 2: Sentiment analysis in twitter
-
In June
-
Theresa Wilson, Zornitsa Kozareva, Preslav Nakov, Sara Rosenthal, Veselin Stoyanov, and Alan Ritter. 2013. SemEval-2013 task 2: Sentiment analysis in twitter. In Proceedings of the International Workshop on Semantic Evaluation, SemEval’13, June.
-
(2013)
Proceedings of The International Workshop on Semantic Evaluation, SemEval’13
-
-
Wilson, T.1
Kozareva, Z.2
Nakov, P.3
Rosenthal, S.4
Stoyanov, V.5
Ritter, A.6
|