-
1
-
-
84856343452
-
Passonneau R (2011) Sentiment analysis of Twitter data
-
Portland, Oregon
-
Agarwal A, Xie B, Vovsha I, Rambow O, Passonneau R (2011) Sentiment analysis of Twitter data. In: Proceedings of the Workshop on Languages in Social Media. Portland, Oregon, pp 30–38
-
Proceedings of the Workshop on Languages in Social Media
, pp. 30-38
-
-
Agarwal, A.1
Xie, B.2
Vovsha, I.3
Rambow, O.4
-
4
-
-
85041439429
-
Modelling Irony in Twitter. In: Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics
-
Barbieri F, Saggion H (2014) Modelling Irony in Twitter. In: Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp 56–64
-
(2014)
pp 56–64
-
-
Barbieri, F.1
Saggion, H.2
-
6
-
-
79960473223
-
Arousal increases social transmission of information
-
Berger J (2011) Arousal increases social transmission of information. Psychol Sci 22(7):891–893
-
(2011)
Psychol Sci
, vol.22
, Issue.7
, pp. 891-893
-
-
Berger, J.1
-
7
-
-
78650162978
-
Sentiment knowledge discovery in twitter streaming data. In: Discovery Science, 2010. Springer
-
Bifet A, Frank E (2010) Sentiment knowledge discovery in twitter streaming data. In: Discovery Science, 2010. Springer, pp 1–15
-
(2010)
pp 1–15
-
-
Bifet, A.1
Frank, E.2
-
8
-
-
48749089377
-
Surveillance Sans Frontieres: internet-based emerging infectious disease intelligence and the HealthMap project
-
Brownstein JS, Freifeld CC, Reis BY, Mandl KD (2008) Surveillance Sans Frontieres: internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med 5(7):e151
-
(2008)
PLoS Med
, vol.5
, Issue.7
, pp. e151
-
-
Brownstein, J.S.1
Freifeld, C.C.2
Reis, B.Y.3
Mandl, K.D.4
-
9
-
-
85116978522
-
Twitter data: What do they represent?
-
Bruns A, Stieglitz S (2014) Twitter data: What do they represent? It Inf Technol 56(5):240–245
-
(2014)
It Inf Technol
, vol.56
, Issue.5
, pp. 240-245
-
-
Bruns, A.1
Stieglitz, S.2
-
10
-
-
84961664901
-
Emotion classification of social media posts for estimating people’s reactions to communicated alert messages during crises
-
Brynielsson J, Johansson F, Jonsson C, Westling A (2014) Emotion classification of social media posts for estimating people’s reactions to communicated alert messages during crises. Security Inf 3(1):1–11
-
(2014)
Security Inf
, vol.3
, Issue.1
, pp. 1-11
-
-
Brynielsson, J.1
Johansson, F.2
Jonsson, C.3
Westling, A.4
-
12
-
-
78649725192
-
Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak
-
Chew C, Eysenbach G (2010) Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PLoS One 5(11):e14118
-
(2010)
PLoS One
, vol.5
, Issue.11
, pp. e14118
-
-
Chew, C.1
Eysenbach, G.2
-
13
-
-
84869594064
-
Syndromic Classification of Twitter Messages
-
Collier N, Doan S (2012) Syndromic Classification of Twitter Messages. In: Kostkova P, Szomszor M, Fowler D (eds) Electronic Healthcare. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 91. pp 186–195
-
(2012)
Electronic Healthcare. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
, vol.91
, pp. 186-195
-
-
Collier, N.1
Doan, S.2
Kostkova, P.3
Szomszor, M.4
Fowler, D.5
-
14
-
-
34249753618
-
Support-Vector Networks
-
Cortes C, Vapnik V (1995) Support-Vector Networks. Mach Learn 20(3):273–297
-
(1995)
Mach Learn
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
15
-
-
85041434630
-
Detecting influenza outbreaks by analyzing Twitter messages
-
Culotta A (2010a) Detecting influenza outbreaks by analyzing Twitter messages. arXiv:10074748
-
(2010)
arXiv:10074748
-
-
Culotta, A.1
-
17
-
-
84947269134
-
-
DCP (2014) Disease Control Priorities Project
-
DCP (2014) Disease Control Priorities Project. http://www.dcp-3.org/dcp2
-
-
-
-
18
-
-
84947228501
-
-
Discover (2014) Stem Cells Shed Light on Treatments for Bipolar Disorder
-
Discover (2014) Stem Cells Shed Light on Treatments for Bipolar Disorder. http://blogs.discovermagazine.com/d-brief/2014/03/26/stem-cells-shed-light-on-treatments-for-bipolar-disorder/-U-wKD4BdXN8
-
-
-
-
19
-
-
85041439533
-
Obscenity
-
FederalCommunicationsCommittee (2014) Obscenity, Indecency and Profanity Guide. http://www.fcc.gov/guides/obscenity-indecency-and-profanity
-
(2014)
Indecency and Profanity Guide
-
-
-
20
-
-
3343019470
-
Measuring nominal scale agreement among many raters
-
Fleiss JL (1971) Measuring nominal scale agreement among many raters. Psychol Bull 76(5):378
-
(1971)
Psychol Bull
, vol.76
, Issue.5
, pp. 378
-
-
Fleiss, J.L.1
-
21
-
-
85041435839
-
-
FoxNews (2014a) Company Recalls Several Food Products Due to Listeria
-
FoxNews (2014a) Company Recalls Several Food Products Due to Listeria. http://fox8.com/2014/03/23/several-nationally-distributed-food-products-recalled-due-to-listeria/
-
-
-
-
22
-
-
84947215023
-
Food Fear: Hummus
-
Giant Eagle: Trader Joe’s Recalled
-
FoxNews (2014b) Food Fear: Hummus, Dips from Target, Giant Eagle, Trader Joe’s Recalled. http://fox8.com/2014/05/20/food-fear-hummus-dips-from-target-giant-eagle-trader-joes-recalled/
-
(2014)
Dips from Target
-
-
-
23
-
-
0032097263
-
Introduction to statistical pattern recognition
-
Fukunaga K (1990) Introduction to statistical pattern recognition, 2nd edn
-
(1990)
2nd edn
-
-
Fukunaga, K.1
-
24
-
-
60549098239
-
Detecting influenza epidemics using search engine query data
-
Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457(7232):1012–1014
-
(2009)
Nature
, vol.457
, Issue.7232
, pp. 1012-1014
-
-
Ginsberg, J.1
Mohebbi, M.H.2
Patel, R.S.3
Brammer, L.4
Smolinski, M.S.5
Brilliant, L.6
-
25
-
-
79953762206
-
Twitter Sentiment Classification using Distant Supervision
-
Go A, Bhayani R, Huang L (2009) Twitter Sentiment Classification using Distant Supervision. Technical Report
-
(2009)
Technical Report
-
-
Go, A.1
Bhayani, R.2
Huang, L.3
-
26
-
-
85041448196
-
-
Guardian (2011) Chinese panic-buy salt over Japan nuclear threat
-
Guardian (2011) Chinese panic-buy salt over Japan nuclear threat. http://www.guardian.co.uk/world/2011/mar/17/chinese-panic-buy-salt-japan
-
-
-
-
27
-
-
76749092270
-
The WEKA data mining software: an update
-
Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The WEKA data mining software: an update. SIGKDD Explor Newsl 11(1):10–18
-
(2009)
SIGKDD Explor Newsl
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
28
-
-
0030295948
-
Do people prefer to pass along good or bad news? Valence and relevance of news as predictors of transmission propensity
-
Heath C (1996) Do people prefer to pass along good or bad news? Valence and relevance of news as predictors of transmission propensity. Organ Behav Hum Decis Process 68(2):79–94
-
(1996)
Organ Behav Hum Decis Process
, vol.68
, Issue.2
, pp. 79-94
-
-
Heath, C.1
-
29
-
-
85041435190
-
-
Independent (2014) Malaysia Airlines flight MH17 crash
-
Independent (2014) Malaysia Airlines flight MH17 crash. http://www.independent.co.uk/news/world/europe/malaysia-airlines-plane-crash-boeing-jet-carrying-295-people-crashes-in-ukraine-9612882.html
-
-
-
-
30
-
-
85041449116
-
-
Ji X (2014a) Profanity Filter Word List
-
Ji X (2014a) Profanity Filter Word List. http://web.njit.edu/~xj25/eosds_beta/files/profanity_list.txt
-
-
-
-
31
-
-
84947217836
-
-
Ji X (2014b) Stopwords
-
Ji X (2014b) Stopwords. http://web.njit.edu/~xj25/eosds_beta/files/news_stopwords.txt
-
-
-
-
33
-
-
84893466108
-
Monitoring Public Health Concerns Using Twitter Sentiment Classifications
-
Proceedings of IEEE International Conference on Healthcare Informatics, Philadelphia
-
Ji X, Chun SA, Geller J (2013) Monitoring Public Health Concerns Using Twitter Sentiment Classifications. In: Proceedings of IEEE International Conference on Healthcare Informatics. Philadelphia
-
(2013)
In
-
-
Ji, X.1
Chun, S.A.2
Geller, J.3
-
34
-
-
83055184650
-
Target-dependent twitter sentiment classification
-
Jiang L, Yu M, Zhou M, Liu X, Zhao T (2011) Target-dependent twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1. pp 151–160
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, vol.1
, pp. 151-160
-
-
Jiang, L.1
Yu, M.2
Zhou, M.3
Liu, X.4
Zhao, T.5
-
35
-
-
84868597583
-
-
Johansson F, Brynielsson J, Quijano MN (2012)Estimating citizen alertness in crises using social media monitoring and analysis. In: Intelligence and Security Informatics Conference (EISIC). pp 189–196
-
Johansson F, Brynielsson J, Quijano MN (2012)Estimating citizen alertness in crises using social media monitoring and analysis. In: Intelligence and Security Informatics Conference (EISIC). pp 189–196
-
-
-
-
37
-
-
85128719106
-
Twitter sentiment analysis: the good the bad and the omg!
-
Kouloumpis E, Wilson T, Moore J (2011) Twitter sentiment analysis: the good the bad and the omg! Icwsm 11:538–541
-
(2011)
Icwsm
, vol.11
, pp. 538-541
-
-
Kouloumpis, E.1
Wilson, T.2
Moore, J.3
-
38
-
-
78349278107
-
Tracking the flu pandemic by monitoring the Social Web. In: Proceedings of IEEE International Conference on Digital Ecosystems and Technologies
-
Lampos V, Cristianini N (2010) Tracking the flu pandemic by monitoring the Social Web. In: Proceedings of IEEE International Conference on Digital Ecosystems and Technologies. pp 411–416
-
(2010)
pp 411–416
-
-
Lampos, V.1
Cristianini, N.2
-
39
-
-
0017360990
-
The measurement of observer agreement for categorical data
-
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics:159–174
-
(1977)
Biometrics
, pp. 159-174
-
-
Landis, J.R.1
Koch, G.G.2
-
40
-
-
34249751638
-
The link prediction problem for social networks
-
Liben Nowell D, Kleinberg J (2007) The link prediction problem for social networks. J Am Soc Inform Sci Technol 58(7):1019–1031
-
(2007)
J Am Soc Inform Sci Technol
, vol.58
, Issue.7
, pp. 1019-1031
-
-
Liben Nowell, D.1
Kleinberg, J.2
-
41
-
-
84866007229
-
A survey of opinion mining and sentiment analysis. In: Mining Text Data
-
Liu B, Zhang L (2012) A survey of opinion mining and sentiment analysis. In: Mining Text Data. pp 415–463
-
(2012)
pp 415–463
-
-
Liu, B.1
Zhang, L.2
-
43
-
-
85070357722
-
Understanding the Demographics of Twitter Users. In: Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM’11)
-
Mislove A, Lehmann S, Ahn Y-Y, Onnela J-P, Rosenquist JN (2011) Understanding the Demographics of Twitter Users. In: Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM’11). pp 554–557
-
(2011)
pp 554–557
-
-
Mislove, A.1
Lehmann, S.2
Ahn, Y.-Y.3
Onnela, J.-P.4
Rosenquist, J.N.5
-
44
-
-
84910073944
-
NRC-Canada: building the state-of-the-art in sentiment analysis of tweets
-
Mohammad SM, Kiritchenko S, Zhu X (2013) NRC-Canada: building the state-of-the-art in sentiment analysis of tweets. arXiv:13086242
-
(2013)
arXiv:13086242
-
-
Mohammad, S.M.1
Kiritchenko, S.2
Zhu, X.3
-
48
-
-
48449095896
-
Opinion mining and sentiment analysis
-
Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2):1–135
-
(2008)
Found Trends Inf Retr
, vol.2
, Issue.1-2
, pp. 1-135
-
-
Pang, B.1
Lee, L.2
-
51
-
-
84892157824
-
Exploiting Twitter for Border Security-Related Intelligence Gathering. In: European Intelligence and Security Informatics Conference (EISIC)
-
Piskorski J, Tanev H, Balahur A (2013) Exploiting Twitter for Border Security-Related Intelligence Gathering. In: European Intelligence and Security Informatics Conference (EISIC). pp 239–246
-
(2013)
pp 239–246
-
-
Piskorski, J.1
Tanev, H.2
Balahur, A.3
-
54
-
-
84947295149
-
-
Reuters (2014) Americans ‘can’t give into hysteria or fear’ over Ebola: Obama
-
Reuters (2014) Americans ‘can’t give into hysteria or fear’ over Ebola: Obama. http://www.reuters.com/article/2014/10/18/us-health-ebola-usa-idUSKCN0I61BO20141018
-
-
-
-
55
-
-
84874703151
-
A multidimensional approach for detecting irony in twitter
-
Reyes A, Rosso P, Veale T (2013) A multidimensional approach for detecting irony in twitter. Lang Resour Eval 47(1):239–268
-
(2013)
Lang Resour Eval
, vol.47
, Issue.1
, pp. 239-268
-
-
Reyes, A.1
Rosso, P.2
Veale, T.3
-
56
-
-
85107820398
-
Learning extraction patterns for subjective expressions. In: Proceedings of the 2003 conference on Empirical methods in natural language processing
-
Riloff E, Wiebe J (2003) Learning extraction patterns for subjective expressions. In: Proceedings of the 2003 conference on Empirical methods in natural language processing. pp 105–112
-
(2003)
pp 105–112
-
-
Riloff, E.1
Wiebe, J.2
-
57
-
-
84868588570
-
Semantic sentiment analysis of twitter
-
Saif H, He Y, Alani H (2012) Semantic sentiment analysis of twitter. In: The Semantic Web–ISWC 2012. pp 508–524
-
(2012)
The Semantic Web–ISWC
, vol.2012
, pp. 508-524
-
-
Saif, H.1
He, Y.2
Alani, H.3
-
58
-
-
85013224604
-
Evaluation datasets for twitter sentiment analysis
-
Turin, Italy
-
Saif H, Fernandez M, He Y, Alani H (2013) Evaluation datasets for twitter sentiment analysis. In: Proceedings of 1st Workshop on Emotion and Sentiment in Social and Expressive Media (ESSEM) in Conjunction with AI* IA Conference, Turin, Italy
-
(2013)
In: Proceedings of 1st Workshop on Emotion and Sentiment in Social and Expressive Media (ESSEM) in Conjunction with AI* IA Conference
-
-
Saif, H.1
Fernandez, M.2
He, Y.3
Alani, H.4
-
59
-
-
84921844405
-
Automatic stopword generation using contextual semantics for sentiment analysis of Twitter
-
In, Proceedings of CEUR Workshop
-
Saif H, Fernández M, Alani H (2014) Automatic stopword generation using contextual semantics for sentiment analysis of Twitter. In: Proceedings of CEUR Workshop
-
(2014)
-
-
Saif, H.1
Fernández, M.2
Alani, H.3
-
60
-
-
80055065085
-
Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control
-
Salathe M, Khandelwal S (2011) Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol 7(10)
-
(2011)
PLoS Comput Biol
, vol.7
, Issue.10
-
-
Salathe, M.1
Khandelwal, S.2
-
62
-
-
79955757514
-
The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic
-
Signorini A, Segre AM, Polgreen PM (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
Segre, A.M.2
Polgreen, P.M.3
-
63
-
-
84880193020
-
Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior
-
Stieglitz S, Dang-Xuan L (2013) Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior. J Manag Inf Syst 29(4):217–248
-
(2013)
J Manag Inf Syst
, vol.29
, Issue.4
, pp. 217-248
-
-
Stieglitz, S.1
Dang-Xuan, L.2
-
64
-
-
84947258179
-
-
Twitter (2014a) Twitter
-
Twitter (2014a) Twitter. http://en.wikipedia.org/wiki/Twitter
-
-
-
-
65
-
-
84947242736
-
-
Twitter (2014b) Twitter Developers Documentation
-
Twitter (2014b) Twitter Developers Documentation. https://dev.twitter.com/docs
-
-
-
-
66
-
-
84947244726
-
-
Twitter4J (2014) Twitter4J
-
Twitter4J (2014) Twitter4J. http://twitter4j.org/en/
-
-
-
-
67
-
-
85041432458
-
A unified theory of irony and its computational formalization. In: Proceedings of the 16th conference on Computational linguistics, vol. 2. Association for Computational Linguistics
-
Utsumi A (1996) A unified theory of irony and its computational formalization. In: Proceedings of the 16th conference on Computational linguistics, vol. 2. Association for Computational Linguistics, pp 962–967
-
(1996)
pp 962–967
-
-
Utsumi, A.1
-
69
-
-
85041442107
-
A survey on the role of negation in sentiment analysis. In: Proceedings of the workshop on negation and speculation in natural language processing
-
Wiegand M, Balahur A, Roth B, Klakow D, Montoyo A (2010) A survey on the role of negation in sentiment analysis. In: Proceedings of the workshop on negation and speculation in natural language processing. pp 60–68
-
(2010)
pp 60–68
-
-
Wiegand, M.1
Balahur, A.2
Roth, B.3
Klakow, D.4
Montoyo, A.5
-
70
-
-
85041439746
-
Annotating opinions in the World Press. In: Proceedings of SIGdial-03
-
Wilson T, Wiebe J (2003) Annotating opinions in the World Press. In: Proceedings of SIGdial-03. pp 13–22
-
(2003)
pp 13–22
-
-
Wilson, T.1
Wiebe, J.2
-
71
-
-
80053247760
-
-
In, Proceedings of Human Language Technologies Conference/Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP
-
Wilson T, Wiebe J, Hoffmann P (2005) Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. In: Proceedings of Human Language Technologies Conference/Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP 2005)
-
(2005)
Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
, pp. 2005
-
-
Wilson, T.1
Wiebe, J.2
Hoffmann, P.3
-
72
-
-
84947233296
-
-
Liu B: Combining lexicon-based and learning-based methods for Twitter sentiment analysis
-
Zhang L, Ghosh R, Dekhil M, Hsu M, Liu B (2011) Combining lexicon-based and learning-based methods for Twitter sentiment analysis
-
(2011)
Hsu M
-
-
Zhang, L.1
Ghosh, R.2
Dekhil, M.3
-
73
-
-
84904192791
-
Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion. In: Databases Theory and Applications
-
Zhou Z, Zhang X, Sanderson M (2014) Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion. In: Databases Theory and Applications. pp 98–109
-
(2014)
pp 98–109
-
-
Zhou, Z.1
Zhang, X.2
Sanderson, M.3
-
74
-
-
50049103449
-
Changes in emotion of the Chinese public in regard to the SARS period
-
Zhu X, Wu S, Miao D, Li Y (2008) Changes in emotion of the Chinese public in regard to the SARS period. Social Behav Personal 36(4):447
-
(2008)
Social Behav Personal
, vol.36
, Issue.4
, pp. 447
-
-
Zhu, X.1
Wu, S.2
Miao, D.3
Li, Y.4
-
75
-
-
34547619773
-
Movie review mining and summarization. In: Proceedings of the 15th ACM international conference on Information and knowledge management
-
Zhuang L, Jing F, Zhu XY (2006) Movie review mining and summarization. In: Proceedings of the 15th ACM international conference on Information and knowledge management. pp 43–50
-
(2006)
pp 43–50
-
-
Zhuang, L.1
Jing, F.2
Zhu, X.Y.3
|