메뉴 건너뛰기




Volumn 71, Issue , 2014, Pages 86-100

Product aspect extraction supervised with online domain knowledge

Author keywords

Aspect extraction Product aspect Topic model Opinion mining Review summarization

Indexed keywords

EXTRACTION; SENTIMENT ANALYSIS;

EID: 84908025051     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.05.018     Document Type: Article
Times cited : (96)

References (56)
  • 2
    • 9444223818 scopus 로고    scopus 로고
    • Mining opinion features in customer reviews
    • M. Hu, B. Liu, Mining opinion features in customer reviews, in: AAAI, vol. 4, 2004, pp. 755-760.
    • (2004) AAAI , vol.4 , pp. 755-760
    • Hu, M.1    Liu, B.2
  • 3
    • 67649142902 scopus 로고    scopus 로고
    • A joint model of text and aspect ratings for sentiment summarization
    • I. Titov, and R. McDonald A joint model of text and aspect ratings for sentiment summarization Urbana 51 2008 61801
    • (2008) Urbana , vol.51 , pp. 61801
    • Titov, I.1    McDonald, R.2
  • 7
    • 48449095896 scopus 로고    scopus 로고
    • Opinion mining and sentiment analysis
    • B. Pang, and L. Lee Opinion mining and sentiment analysis Found. Trends Inform. Ret. 2 1-2 2008 1 135
    • (2008) Found. Trends Inform. Ret. , vol.2 , Issue.12 , pp. 1-135
    • Pang, B.1    Lee, L.2
  • 12
    • 79952798987 scopus 로고    scopus 로고
    • Opinion word expansion and target extraction through double propagation
    • G. Qiu, B. Liu, J. Bu, and C. Chen Opinion word expansion and target extraction through double propagation Comput. Linguist. 37 1 2011 9 27
    • (2011) Comput. Linguist. , vol.37 , Issue.1 , pp. 9-27
    • Qiu, G.1    Liu, B.2    Bu, J.3    Chen, C.4
  • 20
    • 84870056320 scopus 로고    scopus 로고
    • Sample cutting method for imbalanced text sentiment classification based on brc
    • S. Wang, D. Li, L. Zhao, and J. Zhang Sample cutting method for imbalanced text sentiment classification based on brc Knowl.-Based Syst. 37 2013 451 461
    • (2013) Knowl.-Based Syst. , vol.37 , pp. 451-461
    • Wang, S.1    Li, D.2    Zhao, L.3    Zhang, J.4
  • 27
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann Unsupervised learning by probabilistic latent semantic analysis Mach. Learn. 42 1-2 2001 177 196
    • (2001) Mach. Learn. , vol.42 , Issue.12 , pp. 177-196
    • Hofmann, T.1
  • 28
    • 84988269615 scopus 로고    scopus 로고
    • A probabilistic generative model for mining cybercriminal networks from online social media
    • R. Lau, Y. Xia, and Y. Ye A probabilistic generative model for mining cybercriminal networks from online social media IEEE Comput. Intell. Mag. 9 1 2014 31 43
    • (2014) IEEE Comput. Intell. Mag. , vol.9 , Issue.1 , pp. 31-43
    • Lau, R.1    Xia, Y.2    Ye, Y.3
  • 31
    • 74549185029 scopus 로고    scopus 로고
    • Supervised topic models
    • D.M. Blei, J.D. McAuliffe, Supervised topic models, in: NIPS, vol. 7, 2007, pp. 121-128.
    • (2007) NIPS , vol.7 , pp. 121-128
    • Blei, D.M.1    McAuliffe, J.D.2
  • 34
    • 84863381525 scopus 로고    scopus 로고
    • Reading tea leaves: How humans interpret topic models
    • J. Chang, J.L. Boyd-Graber, S. Gerrish, C. Wang, D.M. Blei, Reading tea leaves: How humans interpret topic models, in: NIPS, vol. 22, 2009, pp. 288-296.
    • (2009) NIPS , vol.22 , pp. 288-296
    • Chang, J.1    Boyd-Graber, J.L.2    Gerrish, S.3    Wang, C.4    Blei, D.M.5
  • 37
    • 84864992296 scopus 로고    scopus 로고
    • Senticnet 2: A semantic and affective resource for opinion mining and sentiment analysis
    • E. Cambria, C. Havasi, A. Hussain, Senticnet 2: a semantic and affective resource for opinion mining and sentiment analysis, in: AAAI FLAIRS, 2012, pp. 202-207.
    • (2012) AAAI FLAIRS , pp. 202-207
    • Cambria, E.1    Havasi, C.2    Hussain, A.3
  • 38
    • 84880219830 scopus 로고    scopus 로고
    • New avenues in opinion mining and sentiment analysis
    • E. Cambria, B. Schuller, Y. Xia, and C. Havasi New avenues in opinion mining and sentiment analysis IEEE Intell. Syst. 28 2 2013 15 21
    • (2013) IEEE Intell. Syst. , vol.28 , Issue.2 , pp. 15-21
    • Cambria, E.1    Schuller, B.2    Xia, Y.3    Havasi, C.4
  • 39
    • 84893375456 scopus 로고    scopus 로고
    • Frame-based detection of opinion holders and topics: A model and a tool
    • A. Gangemi, V. Presutti, and D. Reforgiato Recupero Frame-based detection of opinion holders and topics: a model and a tool IEEE Comput. Intell. Mag. 9 1 2014 20 30
    • (2014) IEEE Comput. Intell. Mag. , vol.9 , Issue.1 , pp. 20-30
    • Gangemi, A.1    Presutti, V.2    Reforgiato Recupero, D.3
  • 40
    • 84876940246 scopus 로고    scopus 로고
    • Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining
    • E. Cambria, T. Mazzocco, and A. Hussain Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining Biologically Inspired Cognitive Architectures 4 2013 41 53
    • (2013) Biologically Inspired Cognitive Architectures , vol.4 , pp. 41-53
    • Cambria, E.1    Mazzocco, T.2    Hussain, A.3
  • 41
    • 84868296994 scopus 로고    scopus 로고
    • Sentic activation: A two-level affective common sense reasoning framework
    • E. Cambria, D. Olsher, K. Kwok, Sentic activation: a two-level affective common sense reasoning framework, in: AAAI 2012, pp. 186-192.
    • AAAI 2012 , pp. 186-192
    • Cambria, E.1    Olsher, D.2    Kwok, K.3
  • 43
    • 84880175617 scopus 로고    scopus 로고
    • Building a concept-level sentiment dictionary based on commonsense knowledge
    • A. Tsai, R. Tsai, and J. Hsu Building a concept-level sentiment dictionary based on commonsense knowledge IEEE Intell. Syst. 28 2 2013 22 30
    • (2013) IEEE Intell. Syst. , vol.28 , Issue.2 , pp. 22-30
    • Tsai, A.1    Tsai, R.2    Hsu, J.3
  • 44
    • 84908152207 scopus 로고    scopus 로고
    • Senticnet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis
    • E. Cambria, D. Olsher, D. Rajagopal, Senticnet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis, in: AAAI 2014.
    • (2014) AAAI
    • Cambria, E.1    Olsher, D.2    Rajagopal, D.3
  • 47
    • 49749087162 scopus 로고    scopus 로고
    • Topical n-grams: Phrase and topic discovery, with an application to information retrieval
    • 2007 ICDM 2007, IEEE, 2007
    • X. Wang, A. McCallum, X. Wei, Topical n-grams: phrase and topic discovery, with an application to information retrieval, in: Seventh IEEE International Conference on Data Mining, 2007, ICDM 2007, IEEE, 2007, pp. 697-702.
    • Seventh IEEE International Conference on Data Mining , pp. 697-702
    • Wang, X.1    McCallum, A.2    Wei, X.3
  • 48
    • 79952129745 scopus 로고    scopus 로고
    • Rethinking lda: Why priors matter
    • H.M. Wallach, D.M. Mimno, A. McCallum, Rethinking lda: why priors matter, in: NIPS, vol. 22, 2009, pp. 1973-1981.
    • (2009) NIPS , vol.22 , pp. 1973-1981
    • Wallach, H.M.1    Mimno, D.M.2    McCallum, A.3
  • 50
    • 0001673996 scopus 로고    scopus 로고
    • A comparison of event models for naive bayes text classification
    • Citeseer
    • A. McCallum, K. Nigam, et al., A comparison of event models for naive bayes text classification, in: AAAI-98 Workshop on Learning for Text Categorization, vol. 752, Citeseer, 1998, pp. 41-48.
    • (1998) AAAI-98 Workshop on Learning for Text Categorization , vol.752 , pp. 41-48
    • McCallum, A.1    Nigam, K.2
  • 51
    • 84859089280 scopus 로고    scopus 로고
    • Aspect ranking: Identifying important product aspects from online consumer reviews
    • Citeseer
    • J. Yu, Z.-J. Zha, M. Wang, T.-S. Chua, Aspect ranking: identifying important product aspects from online consumer reviews, in: ACL, Citeseer, 2011, pp. 1496-1505.
    • (2011) ACL , pp. 1496-1505
    • Yu, J.1    Zha, Z.-J.2    Wang, M.3    Chua, T.-S.4
  • 52
    • 84881313311 scopus 로고    scopus 로고
    • Preference-based clustering reviews for augmenting e-commerce recommendation
    • L. Chen, and F. Wang Preference-based clustering reviews for augmenting e-commerce recommendation Knowl.-Based Syst. 50 2013 44 59
    • (2013) Knowl.-Based Syst. , vol.50 , pp. 44-59
    • Chen, L.1    Wang, F.2
  • 53
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • W.M. Rand Objective criteria for the evaluation of clustering methods J. Am. Statist. Assoc. 66 336 1971 846 850
    • (1971) J. Am. Statist. Assoc. , vol.66 , Issue.336 , pp. 846-850
    • Rand, W.M.1
  • 55
    • 0042377235 scopus 로고    scopus 로고
    • Constrained k-means clustering with background knowledge
    • K. Wagstaff, C. Cardie, S. Rogers, S. Schrödl, Constrained k-means clustering with background knowledge, in: ICML, vol. 1, 2001, pp. 577-584.
    • (2001) ICML , vol.1 , pp. 577-584
    • Wagstaff, K.1
  • 56
    • 0002839037 scopus 로고
    • The distribution of range in samples from a normal population, expressed in terms of an independent estimate of standard deviation
    • D. Newman The distribution of range in samples from a normal population, expressed in terms of an independent estimate of standard deviation Biometrika 31 1-2 1939 20 30
    • (1939) Biometrika , vol.31 , Issue.12 , pp. 20-30
    • Newman, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.