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Volumn 2, Issue , 2013, Pages 24-29

Exploiting topic based twitter sentiment for stock prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; COMPUTATIONAL LINGUISTICS; FINANCE; SOCIAL NETWORKING (ONLINE); TIME SERIES;

EID: 84906932179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (241)

References (27)
  • 12
    • 79952268222 scopus 로고    scopus 로고
    • Topic chains for understanding a news corpus
    • Kim, D. and Oh, A. 2011. Topic chains for understanding a news corpus. CIC Ling (2): 163-176.
    • (2011) CIC Ling , Issue.2 , pp. 163-176
    • Kim, D.1    Oh, A.2
  • 19
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for dirichlet process mixture models
    • Neal, R.M. 2000. Markov chain sampling methods for dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9(2):249-265.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , Issue.2 , pp. 249-265
    • Neal, R.M.1
  • 22
    • 67649304832 scopus 로고    scopus 로고
    • Textual analysis of stock market prediction using breaking financial news
    • (February (2))
    • Schumaker, R. P. and Chen, H. 2009. Textual analysis of stock market prediction using breaking financial news. ACM Transactions on Information Systems 27(February (2)):1-19.
    • (2009) ACM Transactions on Information Systems , vol.27 , pp. 1-19
    • Schumaker, R.P.1    Chen, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.