Felicittà: Visualizing and estimating happiness in Italian cities from geotagged Tweets

CEUR Workshop Proceedings

Volumn 1096, Issue , 2013, Pages 95-106

  Allisio, Leonardo ^a   Mussa, Valeria ^a   Bosco, Cristina ^a   Patti, Viviana ^a   Ruffo, Giancarlo ^a  

^a UNIVERSITY OF TURIN   (Italy)

Author keywords

Data analysis and visualization; Sentiment analysis; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

AMOUNT OF INFORMATION; GEO-SPATIAL INFORMATIONS; INHERENT COMPLEXITY; INTERACTIVE INTERFACES; INTERACTIVE MAPS; SENTIMENT ANALYSIS; TWITTER; VISUALIZATION TECHNIQUE;

DATA VISUALIZATION;

EID: 84922970248     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. V. Basile and M. Nissim. Sentiment analysis on Italian tweets. In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 100-107, Atlanta, 2013.
2. C. Bosco, V. Patti, and A. Bolioli. Developing corpora for sentiment analysis: The case of irony and Senti-TUT. IEEE Intelligent Systems, 28(2):55-63, 2013.
3. E. Cambria, B. Schuller, Y. Xia, and C. Havasi. New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems, 28(2):15-21, 2013.
4. C. Fellbaum, editor. WordNet: An Electronic Lexical Database. MIT Press, 1998.
5. P. Gonçalves, M. Araújo, F. Benevenuto, and M. Cha. Comparing and combining sentiment analysis methods. In Proc. of the 1st ACM Conf. on Online Social Networks, pages 27-38. ACM, 2013.
6. S. Kumar, F. Morstatter, and H. Liu. Twitter Data Analytics. Springer, New York, NY, USA, 2013.
7. K. McKelvey, A. Rudnick, M. Conover, and F. Menczer. Visualizing communication on social media: Making big data accessible. In Proc. of CSCW Workshop on Collective Intelligence as Community Discourse and Action, 2012.
8. L. Mitchell, M. R. Frank, K. D. Harris, P. S. Dodds, and C. M. Danforth. The geography of happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place. PLoS ONE, 8(5), 05 2013.
9. C. Monti, A. Rozza, G. Zappella, M. Zignani, A. Arvidsson, and E. Colleoni. Modelling political disaffection from twitter data. In Proc. of Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM'13, pages 3:1-3:9, 2013.
10. E. Pianta, L. Bentivogli, and C. Girardi. MultiWordNet: developing an aligned multilingual database. In Proc. of Int. Conference on Global WordNet, 2002.
11. J. Ratkiewicz, M. Conover, B. Meiss, M. Gonçalves, S. Patil, A. Flammini, and F. Menczer. Truthy: mapping the spread of astroturf in microblog streams. In Proceedings of the 20th International Conference on World Wide Web, WWW 2011(Companion Volume), pages 249-252, New York, NY, USA, 2011. ACM.
12. K. Roberts, M. A. Roach, J. Johnson, J. Guthrie, and S. M. Harabagiu. EmpaTweet: Annotating and detecting emotions on Twitter. In Proc. of the 8th Language Resources and evaluation Conference, LREC'12, pages 3806-3813, 2012.
13. B. Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. In In IEEE Symposium on Visual Languages, pages 336-343, 1996.
14. C. Strapparava and A. Valitutti. WordNet-Affect: an affective extension of Word-Net. In Proc. of the 4th Language Resources and evaluation Conference, LREC'04, volume 4, pages 1083-1086. ELRA, 2004.
15. J. Suttles and N. Ide. Distant supervision for emotion classification with discrete binary values. In Computational Linguistics and Intelligent Text Processing, CICLing 2013, volume 7817 of LNCS, pages 121-136. Springer, 2013.
16. M. Taboada, J. Brooke, M. Tofiloski, K. D. Voll, and M. Stede. Lexicon-based methods for sentiment analysis. Computational Linguistics, 37(2):267-307, 2011.