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Volumn , Issue , 2015, Pages 642-645

A stratified learning approach for predicting the popularity of twitter idioms

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84960978047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 3
    • 85118481535 scopus 로고    scopus 로고
    • Langid.py: An off - The-shelf language identification tool
    • Lui, M., and Baldwin, T. 2012. Langid.py: An off-the-shelf language identification tool. ACL '12, 25-30.
    • (2012) ACL '12 , pp. 25-30
    • Lui, M.1    Baldwin, T.2
  • 4
    • 84866633910 scopus 로고    scopus 로고
    • Will this #Hashtag be popular tomorrow?
    • New York, NY, USA: ACM
    • Ma, Z.; Sun, A.; and Cong, G. 2012. Will this #hashtag be popular tomorrow? SIGIR '12, 1173-1174. New York, NY, USA: ACM.
    • (2012) SIGIR '12 , pp. 1173-1174
    • Ma, Z.1    Sun, A.2    Cong, G.3
  • 5
    • 84919651291 scopus 로고    scopus 로고
    • Improved part-of-speech tagging for online conversational text with word clusters
    • Owoputi, O.; Dyer, C.; Gimpel, K.; Schneider, N.; and Smith, N. A. 2013. Improved part-of-speech tagging for online conversational text with word clusters. NAACL '13.
    • (2013) NAACL '13
    • Owoputi, O.1    Dyer, C.2    Gimpel, K.3    Schneider, N.4    Smith, N.A.5
  • 7
    • 84873450362 scopus 로고    scopus 로고
    • Differences in the mechanics of information diffusion across topics: Idioms, political hashtags, and complex contagion on twitter
    • New York, NY, USA: ACM
    • Romero, D. M.; Meeder, B.; and Kleinberg, J. 2011. Differences in the mechanics of information diffusion across topics: Idioms, political hashtags, and complex contagion on twitter. WWW '11, 695-704. New York, NY, USA: ACM.
    • (2011) WWW '11 , pp. 695-704
    • Romero, D.M.1    Meeder, B.2    Kleinberg, J.3
  • 8
    • 84858057957 scopus 로고    scopus 로고
    • What's in a hashtag?: Content based prediction of the spread of ideas in microblogging communities
    • New York, NY, USA: ACM
    • Tsur, O., and Rappoport, A. 2012. What's in a hashtag?: Content based prediction of the spread of ideas in microblogging communities. WSDM '12, 643-652. New York, NY, USA: ACM.
    • (2012) WSDM '12 , pp. 643-652
    • Tsur, O.1    Rappoport, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.