메뉴 건너뛰기




Volumn 63, Issue 12, 2012, Pages 2521-2535

Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers

Author keywords

information discovery; knowledge discovery; linguistic analysis

Indexed keywords

GRANGER CAUSALITY; INFORMATION DISCOVERY; LINGUISTIC ANALYSIS; MICROBLOGGING; NEGATIVE INFLUENCE; SENTIMENT ANALYSIS; SHORT MESSAGE;

EID: 84870528649     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.22768     Document Type: Article
Times cited : (185)

References (30)
  • 7
    • 77954427835 scopus 로고    scopus 로고
    • Measuring the happiness of large-scale written expression: Songs, blogs, and presidents
    • Dodds, P. S., &, Danforth, C. M., (2010). Measuring the happiness of large-scale written expression: Songs, blogs, and presidents. Journal of Happiness Studies, 11 (4), 441-456.
    • (2010) Journal of Happiness Studies , vol.11 , Issue.4 , pp. 441-456
    • Dodds, P.S.1    Danforth, C.M.2
  • 8
    • 84891551627 scopus 로고
    • Granger causality and the times series analysis of political relationships
    • Freeman, J. R., (1983). Granger causality and the times series analysis of political relationships. American Journal of Political Science, 27 (2), 327-358.
    • (1983) American Journal of Political Science , vol.27 , Issue.2 , pp. 327-358
    • Freeman, J.R.1
  • 10
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger, C. W. J., (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37 (3), 424-438.
    • (1969) Econometrica: Journal of the Econometric Society , vol.37 , Issue.3 , pp. 424-438
    • Granger, C.W.J.1
  • 18
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Pak, A., &, Paroubek, P., (2010). Twitter as a corpus for sentiment analysis and opinion mining. Computer, 1320-1326.
    • (2010) Computer , pp. 1320-1326
    • Pak, A.1    Paroubek, P.2
  • 22
    • 80052395540 scopus 로고    scopus 로고
    • Influence and passivity in social media
    • In D. Gunopulos, T. Hofmann, D. Malerba & M. Vazirgiannis (Eds.), (,). Berlin / Heidelberg: Springer.
    • Romero, D. M., Galuba, W., Asur, S., &, Huberman, B. A., (2011). Influence and passivity in social media. In, D. Gunopulos, T. Hofmann, D. Malerba, &, M. Vazirgiannis, (Eds.), Machine learning and knowledge discovery in databases (Vol. 6913, pp. 18-33). Berlin / Heidelberg: Springer.
    • (2011) Machine Learning and Knowledge Discovery in Databases , vol.6913 , pp. 18-33
    • Romero, D.M.1    Galuba, W.2    Asur, S.3    Huberman, B.A.4
  • 24
    • 77649253939 scopus 로고    scopus 로고
    • The psychological meaning of words: LIWC and computerized text analysis methods
    • Tausczik, Y. R., &, Pennebaker, J. W., (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29 (1), 24-54.
    • (2010) Journal of Language and Social Psychology , vol.29 , Issue.1 , pp. 24-54
    • Tausczik, Y.R.1    Pennebaker, J.W.2
  • 29
    • 77956304408 scopus 로고    scopus 로고
    • Exploring the characteristics of opinion expressions for political opinion classification
    • Montreal, Canada
    • Yu, B., Kaufmann, S., &, Diermeier, D., (2008). Exploring the characteristics of opinion expressions for political opinion classification. Paper presented at the 2008 International Conference on Digital Government Research, Montreal, Canada.
    • (2008) 2008 International Conference on Digital Government Research
    • Yu, B.1    Kaufmann, S.2    Diermeier, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.