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Volumn 367-368, Issue , 2016, Pages 105-124

ISA: A fast, scalable and accurate algorithm for sentiment analysis of social media content

Author keywords

Opinion mining; Sentiment analysis; Twitter analysis

Indexed keywords

AGGREGATES; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION TREES; LEARNING SYSTEMS;

EID: 84974851734     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2016.05.052     Document Type: Article
Times cited : (58)

References (24)
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman Random forests Machine Learning 45 1 2001 5 32
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 4
    • 84880219830 scopus 로고    scopus 로고
    • New avenues in opinion mining and sentiment analysis
    • E. Cambria, B. Schuller, Xia Y., and C. Havasi New avenues in opinion mining and sentiment analysis IEEE Intell. Syst. 28 2 2013 15 21
    • (2013) IEEE Intell. Syst. , vol.28 , Issue.2 , pp. 15-21
    • Cambria, E.1    Schuller, B.2    Xia, Y.3    Havasi, C.4
  • 6
    • 84920973079 scopus 로고    scopus 로고
    • Using sentiment analysis to monitor electoral campaigns. Method matters. Evidence from the United States and Italy
    • A. Ceron, L. Curini, and S. Iacus Using sentiment analysis to monitor electoral campaigns. method matters. evidence from the United States and Italy Soc. Sci. Comput. Rev. 33 1 2015 3 20 10.1177/0894439314521983
    • (2015) Soc. Sci. Comput. Rev. , vol.33 , Issue.1 , pp. 3-20
    • Ceron, A.1    Curini, L.2    Iacus, S.3
  • 7
    • 84894238224 scopus 로고    scopus 로고
    • Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens political preferences with an application to Italy and France
    • A. Ceron, L. Curini, S. Iacus, and G. Porro Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens political preferences with an application to Italy and France New Media Soc. 16 2 2014 340 358
    • (2014) New Media Soc. , vol.16 , Issue.2 , pp. 340-358
    • Ceron, A.1    Curini, L.2    Iacus, S.3    Porro, G.4
  • 8
    • 84939896285 scopus 로고    scopus 로고
    • Measuring idiosyncratic happiness through the analysis of twitter: An application to the Italian case
    • L. Curini, S. Iacus, and L. Canova Measuring idiosyncratic happiness through the analysis of twitter: An application to the italian case Soc. Indicators Res. 121 2 2015 525 542
    • (2015) Soc. Indicators Res. , vol.121 , Issue.2 , pp. 525-542
    • Curini, L.1    Iacus, S.2    Canova, L.3
  • 9
    • 84908277620 scopus 로고    scopus 로고
    • Inferring word meanings by assuming that speakers are informative
    • M.C. Frank, and N.D. Goodman Inferring word meanings by assuming that speakers are informative Cogn. Psychol. 75 2014 80 96 10.1016/j.cogpsych.2014.08.002
    • (2014) Cogn. Psychol. , vol.75 , pp. 80-96
    • Frank, M.C.1    Goodman, N.D.2
  • 10
    • 73649109957 scopus 로고    scopus 로고
    • A method of automated nonparametric content analysis for social science
    • D. Hopkins, and G. King A method of automated nonparametric content analysis for social science American J. Pol. Sci. 54 1 2010 229 247
    • (2010) American J. Pol. Sci. , vol.54 , Issue.1 , pp. 229-247
    • Hopkins, D.1    King, G.2
  • 12
    • 84974814149 scopus 로고    scopus 로고
    • Big data or big fail? the good, the bad and the ugly and the missing role of statistics
    • H.M. Iacus Big data or big fail? the good, the bad and the ugly and the missing role of statistics Electronic J. Appl. Stat. Anal. 5 11 2014 4 11
    • (2014) Electronic J. Appl. Stat. Anal. , vol.5 , Issue.11 , pp. 4-11
    • Iacus, H.M.1
  • 13
    • 79954476716 scopus 로고    scopus 로고
    • Multivariate matching methods that are monotonic imbalance bounding
    • S.M. Iacus, G. King, and G. Porro Multivariate matching methods that are monotonic imbalance bounding J. American Stat. Assoc. 106 2011 345 361
    • (2011) J. American Stat. Assoc. , vol.106 , pp. 345-361
    • Iacus, S.M.1    King, G.2    Porro, G.3
  • 14
    • 84884999912 scopus 로고    scopus 로고
    • Understanding the predictive power of social media
    • E. Kalampokis, E. Tambouris, and K. Tarabanis Understanding the predictive power of social media Internet Res. 23 5 2013 544 559
    • (2013) Internet Res. , vol.23 , Issue.5 , pp. 544-559
    • Kalampokis, E.1    Tambouris, E.2    Tarabanis, K.3
  • 15
    • 84891513748 scopus 로고    scopus 로고
    • Restructuring the social sciences: Reflections from harvard's institute for quantitative social science
    • G. King Restructuring the social sciences: reflections from harvard's institute for quantitative social science Polit. Pol. Sci. 47 1 2014 165 172
    • (2014) Polit. Pol. Sci. , vol.47 , Issue.1 , pp. 165-172
    • King, G.1
  • 16
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • A. Liaw, and M. Wiener Classification and regression by randomforest R News 2 3 2002 18 22
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 17
    • 84920155053 scopus 로고    scopus 로고
    • Active learning through adaptive heterogeneous ensembling
    • Lu Z., Wu X., and J.C. Bongard Active learning through adaptive heterogeneous ensembling IEEE Trans. Knowl. Data Eng. 27 2 2015 368 381 10.1109/TKDE.2014.2304474
    • (2015) IEEE Trans. Knowl. Data Eng. , vol.27 , Issue.2 , pp. 368-381
    • Lu, Z.1    Wu, X.2    Bongard, J.C.3
  • 19
    • 84974847608 scopus 로고    scopus 로고
    • e1071: Misc Functions of the Department of Statistics (e1071) TU Wien R package version 1.6-3
    • D. Meyer, E. Dimitriadou, K. Hornik, A. Weingessel, F. Leisch, e1071: Misc Functions of the Department of Statistics (e1071), TU Wien, 2014. R package version 1.6-3, URL: http://CRAN.R-project.org/package=e1071.
    • (2014)
    • Meyer, D.1    Dimitriadou, E.2    Hornik, K.3    Weingessel, A.4    Leisch, F.5
  • 20
    • 84957703538 scopus 로고    scopus 로고
    • Multiword expressions: A pain in the neck for nlp
    • A. Gelbukh, Lecture Notes in Computer Science Springer Berlin Heidelberg
    • I. Sag, T. Baldwin, F. Bond, A. Copestake, and D. Flickinger Multiword expressions: a pain in the neck for nlp A. Gelbukh, Computational Linguistics and Intelligent Text Processing Lecture Notes in Computer Science 2276 2002 Springer Berlin Heidelberg 1 15 10.1007/3-540-45715-1-1
    • (2002) Computational Linguistics and Intelligent Text Processing , vol.2276 , pp. 1-15
    • Sag, I.1    Baldwin, T.2    Bond, F.3    Copestake, A.4    Flickinger, D.5
  • 22
    • 84974829448 scopus 로고    scopus 로고
    • Voices from the Blogs, Expo2015: c'è ottimismo nel Mondo (scandali permettendo) June, 27, URL
    • Voices from the Blogs, Expo2015: c'è ottimismo nel Mondo (scandali permettendo), 2014. June, 27, URL http://voicesfromtheblogs.com/2014/06/27/expo2015-ce-ottimismo-nel-mondo-scandali-permettendo/.
    • (2014)
  • 23
    • 84974825619 scopus 로고    scopus 로고
    • Voices from the Blogs, L'Invalsi supera la prova Invalsi: migliora il giudizio (almeno in Rete), si copia di meno, ma i docenti..., 2014, June, 19, URL
    • Voices from the Blogs, L'Invalsi supera la prova Invalsi: migliora il giudizio (almeno in Rete), si copia di meno, ma i docenti..., 2014, June, 19, URL: http://voicesfromtheblogs.com/2014/06/19/linvalsi-supera-la-prova-invalsi-migliora-il-giudizio-almeno-in-rete-si-copia-di.
  • 24
    • 85027958625 scopus 로고    scopus 로고
    • Active learning with imbalanced multiple noisy labeling
    • Zhang J., Wu X., and Sheng V.S. Active learning with imbalanced multiple noisy labeling IEEE T. Cybern. 45 5 2015 1081 1093 10.1109/TCYB.2014.2344674
    • (2015) IEEE T. Cybern. , vol.45 , Issue.5 , pp. 1081-1093
    • Zhang, J.1    Wu, X.2    Sheng, V.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.