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Volumn , Issue , 2011, Pages 506-509

Exploring Text Virality in Social Networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84936969945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (58)

References (15)
  • 3
    • 79959642643 scopus 로고    scopus 로고
    • Extractive vs. nlg-based abstractive summarization of evaluative text: the effect of corpus controversiality
    • Carenini, G., and Cheung, J. C. K. 2008. Extractive vs. nlg-based abstractive summarization of evaluative text: the effect of corpus controversiality. In Proceedings of INLG ’08, 33–41.
    • (2008) Proceedings of INLG ’08 , pp. 33-41
    • Carenini, G.1    Cheung, J. C. K.2
  • 5
    • 77950778142 scopus 로고    scopus 로고
    • CORPS: A corpus of tagged political speeches for persuasive communication processing
    • Guerini, M.; Strapparava, C.; and Stock, O. 2008. CORPS: A corpus of tagged political speeches for persuasive communication processing. Journal of Information Technology & Politics 5(1):19–32.
    • (2008) Journal of Information Technology & Politics , vol.5 , Issue.1 , pp. 19-32
    • Guerini, M.1    Strapparava, C.2    Stock, O.3
  • 6
    • 84983570335 scopus 로고    scopus 로고
    • Evaluation metrics for persuasive nlp with google adwords
    • Guerini, M.; Strapparava, C.; and Stock, O. 2010. Evaluation metrics for persuasive nlp with google adwords. In Proceedings of LREC’10, 3459–3463.
    • (2010) Proceedings of LREC’10 , pp. 3459-3463
    • Guerini, M.1    Strapparava, C.2    Stock, O.3
  • 7
    • 77749289749 scopus 로고    scopus 로고
    • Digging digg: Comment mining, popularity prediction, and social network analysis
    • Jamali, S., and Rangwala, H. 2009. Digging digg: Comment mining, popularity prediction, and social network analysis. In Proceedings of WISM’09.
    • (2009) Proceedings of WISM’09
    • Jamali, S.1    Rangwala, H.2
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with Support Vector Machines: learning with many relevant features
    • Joachims, T. 1998. Text categorization with Support Vector Machines: learning with many relevant features. In Proceedings of ECML’98, 137–142.
    • (1998) Proceedings of ECML’98 , pp. 137-142
    • Joachims, T.1
  • 10
    • 79955137805 scopus 로고    scopus 로고
    • Analyzing and predicting community preference of socially generated metadata: A case study on comments in the digg community
    • Khabiri, E.; Hsu, C.-F.; and Caverlee, J. 2009. Analyzing and predicting community preference of socially generated metadata: A case study on comments in the digg community. In Proceedings of ICWSM’09.
    • (2009) Proceedings of ICWSM’09
    • Khabiri, E.1    Hsu, C.-F.2    Caverlee, J.3
  • 11
    • 84890653327 scopus 로고    scopus 로고
    • Information contagion: an empirical study of the spread of news on digg and twitter social networks
    • Lerman, K., and Ghosh, R. 2010. Information contagion: an empirical study of the spread of news on digg and twitter social networks. In Proceedings of ICWSM’10.
    • (2010) Proceedings of ICWSM’10
    • Lerman, K.1    Ghosh, R.2
  • 15
    • 36749044180 scopus 로고    scopus 로고
    • Influentials, networks, and public opinion formation
    • Watts, D. J., and Dodds, P. S. 2007. Influentials, networks, and public opinion formation. Journal of Consumer Research 34(4):441–458.
    • (2007) Journal of Consumer Research , vol.34 , Issue.4 , pp. 441-458
    • Watts, D. J.1    Dodds, P. S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.