Adapting sentiment analysis for tweets linking to scientific papers

Proceedings of ISSI 2015 Istanbul: 15th International Society of Scientometrics and Informetrics Conference

Volumn , Issue , 2015, Pages 107-108

  Friedrich, Natalie ^a   Bowman, Timothy D ^b   Stock, Wolfgang G ^a   Haustein, Stefanie ^b  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84991109517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Haustein, S., Bowman, T. D., Holmberg, K., Tsou, A., Sugimoto, C. R., & Larivière, V. (in press). Tweets as impact indicators: Examining the implications of automated bot accounts on Twitter. Journal of the Association for Information Science and Technology. Retrieved from http://arxiv.org/abs/1410.4139
2. Thelwall, M., Haustein, S., Lariviére, V., & Sugimoto, C.R. (2013a). Do Altmetrics work? Twitter and Ten Other Social Web Services. PLoS ONE 8(5): e64841.
3. Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., & Haustein, S. (2013b). Tweeting links to academic articles. Cybermetrics: International Journal of Scientometrics, Informetrics and Bibliometrics, 1-8. Retrieved from http://cybermetrics.cindoc.csic.es/articles/v17i1 p1.html
4. Thelwall, M., Buckley, K., Paltoglou, G. Cai, & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal oft he American Society for Information Science und Technology, 61(12), 2544-2558.