Signals of Public Opinion in Online Communication: A Comparison of Methods and Data Sources

Annals of the American Academy of Political and Social Science

Volumn 659, Issue 1, 2015, Pages 95-107

  González Bailón, Sandra ^a   Paltoglou, Georgios ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF WOLVERHAMPTON   (United Kingdom)

Author keywords

content analysis; information diversity; language formality; lexicon based methods; machine learning; sentiment analysis; text mining

Indexed keywords

EID: 84927125364     PISSN: 00027162     EISSN: 15523349     Source Type: Journal    
DOI: 10.1177/0002716215569192     Document Type: Article

References (30)

1. Bache Kevin,Newman David,Smyth PadhraicProceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Dhillon Inderjit S.Koren YehudaGhani RayidSenator Ted E.Bradley PaulParekh RajeshHe JingruiGrossman Robert L.Uthurusamy Ramasamy, ed. New York, NY: ACM; 2013:23-31.
2. Blei David M.,Ng Andrew Y.,Jordan Michael I.Latent dirichlet allocation.Journal of Machine Learning Research. 2003;3:993-1022
3. Bollen Johan,Pepe Alberto,Mao Huina.Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena.Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011); 2011; 2011. 450.
4. Bradley Margaret M.,Lang Peter J.Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings. Gainesville, FL: The Center for Research in Psychophysiology, University of Florida; 1999:
5. DiMaggio Paul,Nag Manish,Blei David.Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding.Poetics. 2013;41 (6): 570-606
6. Dodds Peter S.,Danforth Christopher M.Measuring the happiness of large-scale written expression: Songs, blogs, and presidents.Journal of Happiness Studies. 2009;:
7. Dodds Peter Sheridan,Harris Kameron Decker,Kloumann Isabel M.,Bliss Catherine A.,Danforth Christopher M.Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter.PloS ONE. 2011;6 (12): e26752
8. Golder Scott A.,Macy Michael W.Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.Science. 2011;333:1878-81
9. González-Bailón Sandra,Banchs Rafael E.,Kaltenbrunner Andreas.Emotions, public opinion and U.S. presidential approval rates: A 5-year analysis of online political discussions.Human Communication Research. 2012;38:121-43
10. Griffiths Thomas L.,Steyvers Mark.Finding scientific topics.Proceedings of the National Academy of Sciences. 2004;101:5228-35
11. Hong Liangjie,Davison Brian D.Proceedings of the First Workshop on Social Media Analytics. Melville PremLeskovec JureProvost Foster, ed. New York, NY: ACM; 2010:80-88.
12. Kittur Aniket,Chi Ed H.,Suh BongwonProceedings of the SIGCHI Conference on Human Factors in Computing Systems. Burnett MargaretConstabile Maria FrancescaCatarci Tizianade Ruyter BorisTan DesneyCzerwinski MaryLund Arnie, ed. New York, NY: ACM; 2008:453-56.
13. Krippendorff KlausContent analysis: An introduction to its methodology. Thousand Oaks, CA: Sage Publications; 2013:
14. Liu BingSentiment analysis and opinion mining. Chicago, IL: Morgan & Claypool; 2012:
15. Manning Christopher D.,Raghavan Prabhakar,Schütze HinrichIntroduction to information retrieval. New York, NY: Cambridge University Press; 2008:
16. McCallumAndrew. 2002. MALLET: A machine learning for language toolkit. Available from http://mallet.cs.umass.edu.
17. Nigam K.,Lafferty J.,McCallum A.Using maximum entropy for text classification.Paper presented at the IJCAI-99 Workshop on Machine Learning for Information Filtering; 1999Stockholm, Sweden; 1999.
18. Paltoglou Georgios,Thelwall Mike.Twitter, MySpace, Digg: Unsupervised sentiment analysis in social media.ACM Transactions on Intelligent Systems and Technology (TIST). 2012;3 (4): 1-19
19. Paltoglou Georgios,Thelwall Mike,Buckely Kevan.Online textual communications annotated with grades of emotion strength.Paper presented at the 3rd International Workshop of Emotion: Corpora for research on Emotion and Affect; 2010Valletta, Malta; 2010.
20. Pang Bo,Lee Lillian.Opinion mining and sentiment analysis.Foundations and Trends in Information Retrieval. 2008;2 (1–2): 1-135
21. Pennebaker James W.,Booth Roger J.,Francis Martha E.Linguistic inquiry and word count: LIWC. Mahwah, NJ: Lawrence Erlbaum; 2001:
22. Rosen-Zvi Michal,Griffiths Thomas,Steyvers Mark,Smyth Padhraic.The author-topic model for authors and documents.Paper presented at the 20th Conference on Uncertainty in Artificial Intelligence; 2004Banff, Canada; 2004.
23. Salton Gerard,Buckley Christopher.Term-weighting approaches in automatic text retrieval.Information Processing & Management. 1988;24 (5): 513-23
24. Somasundaran Swapna,Wiebe Janyce.Recognizing stances in ideological on-line debates.Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text; 2010; 2010. 116.
25. Sparck Jones Karen.A statistical interpretation of term specificity and its application in retrieval.Journal of Documentation. 1972;28 (1): 11-21
26. Stone Philip J.,Dunphry Dexter C.,Smith Marshall S.,Ogilvie Daniel M.The general inquirer: A computer approach to content analysis. Cambridge, MA: MIT Press; 1966:
27. Thelwall Mike,Buckley Kevan,Paltoglou George.Sentiment in Twitter events.Journal of the American Society for Information Science and Technology. 2011;62 (2): 406-18
28. Thelwall Mike,Buckley Kevan,Paltoglou Georgios,Cai Di,Kappas Arvid.Sentiment strength detection in short informal text.Journal of the American Society for Information Science and Technology. 2010;61 (12): 2544-58
29. Thelwall Mike,Sud Pardeep,Vis Farida.Commenting on YouTube videos: From Guatemalan rock to El Big Bang.Journal of the American Society for Information Science and Technology. 2012;63 (3): 616-29
30. Young Lori,Soroka Stuart.Affective news: The automated coding of sentiment in political texts.Political Communication. 2012;29:205-31