메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1545-1555

Questions about questions: An empirical analysis of information needs on Twitter

Author keywords

Information need; Time series analysis; Twitter

Indexed keywords

BEHAVIORAL PATTERNS; COMPREHENSIVE ANALYSIS; EMPIRICAL ANALYSIS; INFORMATION NEED; INFORMATION SEEKING; LONGITUDINAL ANALYSIS; ON-LINE INFORMATION; TWITTER;

EID: 84892726435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (38)
  • 3
    • 80055063924 scopus 로고    scopus 로고
    • Twitter mood predicts the stock market
    • abs/1010.3003
    • J. Bollen, H. Mao, and X.-J. Zeng. Twitter mood predicts the stock market. CoRR, abs/1010.3003, 2010.
    • (2010) CoRR
    • Bollen, J.1    Mao, H.2    Zeng, X.-J.3
  • 5
    • 65249172016 scopus 로고    scopus 로고
    • Information seeking can be social
    • E. H. Chi. Information seeking can be social. Computer, 42(3):42-46, 2009.
    • (2009) Computer , vol.42 , Issue.3 , pp. 42-46
    • Chi, E.H.1
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20:273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 33646068798 scopus 로고    scopus 로고
    • Wordnet: An electronic lexical database
    • C. Fellbaum. Wordnet: An electronic lexical database. Cambridge, MA: MIT Press, 38(11):39-41, 1998.
    • (1998) Cambridge MA: MIT Press , vol.38 , Issue.11 , pp. 39-41
    • Fellbaum, C.1
  • 11
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • G. Forman. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res., 3:1289-1305, 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 15
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • July
    • C. W. J. Granger. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3):424-38, July 1969.
    • (1969) Econometrica , vol.37 , Issue.3 , pp. 424-438
    • Granger, C.W.J.1
  • 16
    • 84874882786 scopus 로고    scopus 로고
    • Searchbuddies: Bringing search engines into the conversation
    • B. Hecht, J. Teevan, M. R. Morris, and D. Liebling. Searchbuddies: Bringing search engines into the conversation. ICWSM, pages 138-145, 2012.
    • (2012) ICWSM , pp. 138-145
    • Hecht, B.1    Teevan, J.2    Morris, M.R.3    Liebling, D.4
  • 18
    • 0027766985 scopus 로고
    • Viewing morphology as an inference process
    • R. Krovetz. Viewing morphology as an inference process. 16th ACM SIGIR Conference, pages 191-202, 1993.
    • (1993) 16th ACM SIGIR Conference , pp. 191-202
    • Krovetz, R.1
  • 20
    • 44649197212 scopus 로고    scopus 로고
    • Adaboost with SVM-based component classifiers
    • X. Li, L. Wang, and E. Sung. Adaboost with svm-based component classifiers. Eng. Appl. Artif. Intell., 21(5):785-795, 2008.
    • (2008) Eng. Appl. Artif. Intell. , vol.21 , Issue.5 , pp. 785-795
    • Li, X.1    Wang, L.2    Sung, E.3
  • 21
    • 84878597295 scopus 로고    scopus 로고
    • Almighty twitter, what are people asking for?
    • Z. Liu and B. Jansen. Almighty twitter, what are people asking for? ASIST, 2012.
    • (2012) ASIST
    • Liu, Z.1    Jansen, B.2
  • 24
    • 84976702763 scopus 로고
    • Wordnet: A lexical database for English
    • G. A. Miller. Wordnet: A lexical database for english. Communications of the ACM, 38(11):39-41, 1995.
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 30
    • 84861097176 scopus 로고    scopus 로고
    • Measuring effectiveness and user satisfaction in Yahoo! answers
    • C. Shah. Measuring effectiveness and user satisfaction in Yahoo! answers. First Monday, 16(2-7), 2011.
    • (2011) First Monday , vol.16 , Issue.2-7
    • Shah, C.1
  • 31
    • 3042687811 scopus 로고    scopus 로고
    • Analysis of a very large web search engine query log
    • ACM
    • C. Silverstein, H. Marais, M. Henzinger, and M. Moricz. Analysis of a very large web search engine query log. In ACm SIGIR Forum, volume 33, pages 6-12. ACM, 1999.
    • (1999) ACm SIGIR Forum , vol.33 , pp. 6-12
    • Silverstein, C.1    Marais, H.2    Henzinger, M.3    Moricz, M.4
  • 37
    • 85167407775 scopus 로고    scopus 로고
    • Temporal and social context based burst detection from folksonomies
    • AAAI Press
    • J. Yao, B. Cui, Y. Huang, and X. Jin. Temporal and social context based burst detection from folksonomies. In AAAI. AAAI Press, 2010.
    • (2010) AAAI
    • Yao, J.1    Cui, B.2    Huang, Y.3    Jin, X.4
  • 38
    • 84856358928 scopus 로고    scopus 로고
    • Bursty event detection from collaborative tags
    • J. Yao, B. Cui, Y. Huang, and Y. Zhou. Bursty event detection from collaborative tags. World Wide Web, 15(2):171-195, 2012.
    • (2012) World Wide Web , vol.15 , Issue.2 , pp. 171-195
    • Yao, J.1    Cui, B.2    Huang, Y.3    Zhou, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.