Sentiment characterization of an urban environment via twitter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8276 LNCS, Issue , 2013, Pages 394-397

  Martínez, Víctor ^a   Gonzílez, Víctor M ^a  

^a INSTITUTO TECNOLÓGICO AUTÓNOMO DE MÉXICO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

POSITIVE CORRELATIONS; STATISTICAL STUDY; URBAN ENVIRONMENTS;

ARTIFICIAL INTELLIGENCE; UBIQUITOUS COMPUTING; BIOINFORMATICS;

URBAN PLANNING;

EID: 84893102740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03176-7_54     Document Type: Conference Paper

References (5)

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2. O'Connor, B., Balasubramanyan, R., Routledge, B.R., Smith, N.A.: From tweets to polls: Linking text sentiment to public opinion time series. ICWSM 11, 122-129 (2010)
3. Diakopoulos, N.A., Shamma, D.A.: Characterizing debate performance via aggregated twitter sentiment. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1195-1198. ACM (2010)
4. Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. Journal of Computational Science 2(1), 1-8 (2011)
5. Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, 1-12 (2009)