메뉴 건너뛰기




Volumn 2, Issue , 2011, Pages 1286-1291

Transfer learning for multiple-domain sentiment analysis - Identifying domain dependent/independent word polarity

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PROBABILISTIC MODELS; DOMAIN KNOWLEDGE; EFFICIENT ALGORITHM; GIBBS SAMPLING; MULTIPLE SOURCE; MULTIPLE TARGETS; POLARITY CLASSIFICATION; SENTIMENT ANALYSIS; TRANSFER LEARNING;

EID: 80055049538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (58)

References (19)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • Ando, R. K., and Zhang, T. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res. 6.
    • (2005) J. Mach. Learn. Res. , pp. 6
    • Ando, R.K.1    Zhang, T.2
  • 4
    • 80053342456 scopus 로고    scopus 로고
    • Domain adaptation with structural correspondence learning
    • Blitzer, J.; McDonald, R.; and Pereira, F. 2006. Domain adaptation with structural correspondence learning. EMNLP '06.
    • (2006) EMNLP '06
    • Blitzer, J.1    McDonald, R.2    Pereira, F.3
  • 5
    • 79959288350 scopus 로고    scopus 로고
    • An unsupervised aspect-sentiment model for online reviews
    • Brody, S., and Elhadad, N. 2010. An unsupervised aspect-sentiment model for online reviews. HLT ' 10.
    • (2010) HLT ' 10
    • Brody, S.1    Elhadad, N.2
  • 7
    • 1842788824 scopus 로고    scopus 로고
    • Finding scientific topics
    • Griffiths, T. L., and Steyvers, M. 2004. Finding scientific topics. PNAS 101(suppl. 1).
    • (2004) PNAS , vol.101 , Issue.SUPPL. 1
    • Griffiths, T.L.1    Steyvers, M.2
  • 10
    • 79957604857 scopus 로고    scopus 로고
    • A comparative study of bayesian models for unsupervised sentiment detection
    • Lin, C.; He, Y.; and Everson, R. 2010. A comparative study of bayesian models for unsupervised sentiment detection. CoNLL '10.
    • (2010) CoNLL '10
    • Lin, C.1    He, Y.2    Everson, R.3
  • 11
    • 35348882767 scopus 로고    scopus 로고
    • Topic sentiment mixture: Modeling facets and opinions in weblogs
    • ACM
    • Mei, Q.; Ling, X.; Wondra, M.; Su, H.; and Zhai, C. 2007. Topic sentiment mixture: modeling facets and opinions in weblogs. WWW '07. ACM.
    • (2007) WWW '07
    • Mei, Q.1    Ling, X.2    Wondra, M.3    Su, H.4    Zhai, C.5
  • 13
    • 0033886806 scopus 로고    scopus 로고
    • Text Classification from Labeled and Unlabeled Documents using EM
    • Nigam, K.; Mccallum, A. K.; Thrun, S.; and Mitchell, T. 2000. Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39(2).
    • (2000) Machine Learning , vol.39 , Issue.2
    • Nigam, K.1    Mccallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 16
    • 84859908006 scopus 로고    scopus 로고
    • Extracting semantic orientations of words using spin model
    • Takamura, H.; Inui, T.; and Okumura, M. 2005. Extracting semantic orientations of words using spin model. ACL '05.
    • (2005) ACL '05
    • Takamura, H.1    Inui, T.2    Okumura, M.3
  • 17
    • 57349120510 scopus 로고    scopus 로고
    • Modeling online reviews with multi-grain topic models
    • ACM
    • Titov, I., and McDonald, R. 2008. Modeling online reviews with multi-grain topic models. WWW '08. ACM.
    • (2008) WWW '08
    • Titov, I.1    McDonald, R.2
  • 18
    • 80053240424 scopus 로고    scopus 로고
    • Jointly modeling aspects and opinions with a maxent-lda hybrid
    • Zhao, W. X.; Jiang, J.; Yan, H.; and Li, X. 2010. Jointly modeling aspects and opinions with a maxent-lda hybrid. EMNLP '10.
    • (2010) EMNLP '10
    • Zhao, W.X.1    Jiang, J.2    Yan, H.3    Li, X.4
  • 19
    • 67650685751 scopus 로고    scopus 로고
    • Transferring knowledge from another domain for learning action models
    • Zhuo, H.; Yang, Q.; Hu, D. H.; and Li, L. 2008. Transferring knowledge from another domain for learning action models. PRICAI '08.
    • (2008) PRICAI '08
    • Zhuo, H.1    Yang, Q.2    Hu, D.H.3    Li, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.