메뉴 건너뛰기




Volumn , Issue , 2014, Pages 208-212

Coooolll: A Deep Learning System for Twitter Sentiment Classification

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; SEMANTICS; SOCIAL NETWORKING (ONLINE);

EID: 85090890113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (207)

References (21)
  • 4
    • 84875706201 scopus 로고    scopus 로고
    • Techniques and applications for sentiment analysis
    • Ronen Feldman. 2013. Techniques and applications for sentiment analysis. Communications of the ACM, 56(4):82–89.
    • (2013) Communications of the ACM , vol.56 , Issue.4 , pp. 82-89
    • Feldman, Ronen1
  • 12
    • 80053288309 scopus 로고    scopus 로고
    • Composition in distributional models of semantics
    • Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Cognitive Science, 34(8):1388–1429.
    • (2010) Cognitive Science , vol.34 , Issue.8 , pp. 1388-1429
    • Mitchell, Jeff1    Lapata, Mirella2
  • 13
    • 84881408290 scopus 로고    scopus 로고
    • Crowd-sourcing a word–emotion association lexicon
    • Saif M Mohammad and Peter D Turney. 2013. Crowd-sourcing a word–emotion association lexicon. Computational Intelligence, 29(3):436–465.
    • (2013) Computational Intelligence , vol.29 , Issue.3 , pp. 436-465
    • Mohammad, Saif M1    Turney, Peter D2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.