publication . Preprint . 2019

Sharing emotions at scale: The Vent dataset

Lykousas, Nikolaos; Patsakis, Costantinos; Kaltenbrunner, Andreas; Gómez, Vicenç;
Open Access English
  • Published: 15 Jan 2019
Abstract
Comment: 9 pages, 12 figures, 2 tables. Accepted at the 13th International AAAI Conference on Web and Social Media (ICWSM 2019)
Subjects
free text keywords: Computer Science - Social and Information Networks, Computer Science - Human-Computer Interaction
Funded by
EC| PRACTICIES
Project
PRACTICIES
Partnership against violent radicalization in the cities
  • Funder: European Commission (EC)
  • Project Code: 740072
  • Funding stream: H2020 | RIA
Download from
47 references, page 1 of 4

[Berger and Milkman 2012] Berger, J., and Milkman, K. L.

2012. What makes online content viral? Journal of marketing research 49(2):192-205.

[Blondel et al. 2008] Blondel, V. D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E. 2008. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment 2008(10):P10008.

[Cambria et al. 2013] Cambria, E.; Schuller, B.; Xia, Y.; and Havasi, C. 2013. New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems 28(2):15-21.

[Fowler and Christakis 2008] Fowler, J. H., and Christakis, N. A. 2008. Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the framingham heart study. Bmj 337:a2338.

[Fung 2015] Fung, P. 2015. Robots with heart. Scientific American 313(5):60-63.

[Garcia et al. 2016] Garcia, D.; Kappas, A.; Ku¨ster, D.; and Schweitzer, F. 2016. The dynamics of emotions in online interaction. Royal Society open science 3(8):160059.

[Garimella and Tyson 2018] Garimella, V. R. K., and Tyson, G. 2018. Whatsapp, doc? a first look at whatsapp public group data. In ICWSM. [OpenAIRE]

[Iosub et al. 2014] Iosub, D.; Laniado, D.; Castillo, C.; Morell, M. F.; and Kaltenbrunner, A. 2014. Emotions under discussion: Gender, status and communication in online collaboration. PloS one 9(8):e104880.

[Joshi and Deshpande 2018] Joshi, S., and Deshpande, D.

2018. Twitter sentiment analysis system. International Journal of Computer Applications 180(47):35-39.

[Kao et al. 2009] Kao, E. C.-C.; Liu, C.-C.; Yang, T.-H.; Hsieh, C.-T.; and Soo, V.-W. 2009. Towards text-based emotion detection a survey and possible improvements. In Information Management and Engineering, 2009. ICIME'09.

International Conference on, 70-74. IEEE.

[Kouloumpis, Wilson, and Moore 2011] Kouloumpis, E.; Wilson, T.; and Moore, J. D. 2011. Twitter sentiment analysis: The good the bad and the omg! Icwsm 11(538-541):164. [OpenAIRE]

[Kramer, Guillory, and Hancock 2014] Kramer, A. D.; Guillory, J. E.; and Hancock, J. T. 2014. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences 201320040. [OpenAIRE]

47 references, page 1 of 4
Abstract
Comment: 9 pages, 12 figures, 2 tables. Accepted at the 13th International AAAI Conference on Web and Social Media (ICWSM 2019)
Subjects
free text keywords: Computer Science - Social and Information Networks, Computer Science - Human-Computer Interaction
Funded by
EC| PRACTICIES
Project
PRACTICIES
Partnership against violent radicalization in the cities
  • Funder: European Commission (EC)
  • Project Code: 740072
  • Funding stream: H2020 | RIA
Download from
47 references, page 1 of 4

[Berger and Milkman 2012] Berger, J., and Milkman, K. L.

2012. What makes online content viral? Journal of marketing research 49(2):192-205.

[Blondel et al. 2008] Blondel, V. D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E. 2008. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment 2008(10):P10008.

[Cambria et al. 2013] Cambria, E.; Schuller, B.; Xia, Y.; and Havasi, C. 2013. New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems 28(2):15-21.

[Fowler and Christakis 2008] Fowler, J. H., and Christakis, N. A. 2008. Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the framingham heart study. Bmj 337:a2338.

[Fung 2015] Fung, P. 2015. Robots with heart. Scientific American 313(5):60-63.

[Garcia et al. 2016] Garcia, D.; Kappas, A.; Ku¨ster, D.; and Schweitzer, F. 2016. The dynamics of emotions in online interaction. Royal Society open science 3(8):160059.

[Garimella and Tyson 2018] Garimella, V. R. K., and Tyson, G. 2018. Whatsapp, doc? a first look at whatsapp public group data. In ICWSM. [OpenAIRE]

[Iosub et al. 2014] Iosub, D.; Laniado, D.; Castillo, C.; Morell, M. F.; and Kaltenbrunner, A. 2014. Emotions under discussion: Gender, status and communication in online collaboration. PloS one 9(8):e104880.

[Joshi and Deshpande 2018] Joshi, S., and Deshpande, D.

2018. Twitter sentiment analysis system. International Journal of Computer Applications 180(47):35-39.

[Kao et al. 2009] Kao, E. C.-C.; Liu, C.-C.; Yang, T.-H.; Hsieh, C.-T.; and Soo, V.-W. 2009. Towards text-based emotion detection a survey and possible improvements. In Information Management and Engineering, 2009. ICIME'09.

International Conference on, 70-74. IEEE.

[Kouloumpis, Wilson, and Moore 2011] Kouloumpis, E.; Wilson, T.; and Moore, J. D. 2011. Twitter sentiment analysis: The good the bad and the omg! Icwsm 11(538-541):164. [OpenAIRE]

[Kramer, Guillory, and Hancock 2014] Kramer, A. D.; Guillory, J. E.; and Hancock, J. T. 2014. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences 201320040. [OpenAIRE]

47 references, page 1 of 4
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